Color-coded System Research Articles

The effectiveness of a sentence-building treatment protocol based on Colorful Semantics

This study investigated the effectiveness of a color-coding system on the sentence-construction skills of a Greek child with Down syndrome. A five-stage single-subject design was implemented, consisting of assessment, baseline, treatment, post-treatment and follow-up phases. The treatment protocol was devised based on the Colorful Semantics program (Bryan, 2003). It focused on the construction of SVO clauses in the context of a picture-description task. The sentence-building process involved the segmentation of the target utterance into its basic syntactic constituents, facilitated by color-coding information of the subject, the verb and the object, and the use of wh- questions. Evidence based on an extensive assessment battery guided the selection and the design of the treatment program. During the baseline, post-treatment and follow-up phases, the child described the same set of action images for comparison purposes, whereas the sentence-coding protocol was introduced and implemented within two 45-minute sessions in a single week. In the baseline session, the child produced a full utterance in response only to 2/16 target pictures. After two treatment sessions, the child was able to describe almost all target pictures using full sentences, while adopting the coding system independently, without the aid of the clinician. Additionally, at 8 weeks post-treatment, the child was still able to describe nearly 50% of the pictures correctly, while using full clauses without the aid of the sentence-coding system. Conclusively, these results not only demonstrate the effectiveness of the designed treatment protocol, but also its efficiency and long-term effects. Given that the protocol was applied to a single participant, findings cannot be generalized without conducting a more extensive investigation.

Visualization of AI Accuracy: A Novel Assignment for the Teaching of Critical Thinking and Science Writing

Background Rapid changes brought on by generative artificial intelligence (AI) have emphasized the need to teach students to work with this technology while also developing the “robot proof” human skills future workers will need, such as creativity, communication, and critical thinking. Objective The study objective was to explore whether a fact-checking, generative-AI assignment, inserted between the outline, and first-draft stages of a student's literature review writing process, would relate to student classification, perceptions of AI accuracy, and future trust in AI-generated content. Method Students in upper and lower division psychology classes used AI to generate a literature review on their final paper topic, which they then fact-checked for accuracy and usefulness using a color-coded system. Results Lower division students expected more inaccuracy, highlighted less information as inaccurate, and reported greater future trust of AI-generated content than upper division students. Conclusion Students with more experience critically evaluating primary sources may be better equipped to detect inaccuracies within AI-generated content. Teaching Implications Teachers of any course requiring a literature review paper may use this assignment to encourage student use of AI with a critical eye toward recognizing where that content is incorrect.

Drug supply management at first-level public health facilities: Case of Pyay District, Myanmar.

First-level public health facilities (PHFs) serve as primary providers of essential medicines, necessitating critical attention to drug availability and quality assurance. This study aimed to examine the status of functional areas within the drug supply chain management framework and assess the overall capability maturity at first-level PHFs. The cross-sectional study was conducted among 183 drug store sites from six townships of Pyay District. Only situational analysis was exercised to determine the existing situations. The overall capability maturity was determined according to the definitions of levels of the Capability Maturity Module Tool. 58.47% lacked formal drug supply management training, with 23.5% not undergoing performance reviews. Drug forecasting predominantly relied on a pen-paper system (91.6%) and factors like patient load (87.39%), drug consumption (85.71%), and disease prevalence (64.71%). Store site analysis revealed that 65.03% exhibited marginal capability, lacking standardized drugstores and employing unstandardized procedures. Storage practices varied, with 48.69% storing drugs conveniently and others categorizing them by drug type (32.79%) or using the first-expired-first-out system (40.98%). Approximately 42.69% reported having expired drugs. Concerning transportation costs, 37.16% incurred expenses exceeding 20,000 Kyats per time, with management staff often covering the costs. Waste management methods included burial pits (49.18%), incineration (62.84%), and sharp pits (55.19%). A majority (78.14%) used safety boxes, and 57.38% implemented a color-coded system for waste bins. The logistics management information system was entirely paper-based (100%). On average, assessments of drug quality conditions and physical damages scored 46.51% and 48.20%, respectively. The overall supply chain maturity at first-level public health facilities is at a marginal capability level (36.35%). While some basic drug supply chain management procedures were in place, they were not consistently followed, and many systems remain manual. The findings underscored significant inconsistencies in the management functions of supplied drugs, with poor adherence to Standard Operating Procedure guidelines.

Traffic light nutrition labelling policy: A path to promoting healthier eating habits in Pakistan.

Dear Editor, While the global burden of diet-related diseases continues to escalate1, it is disheartening to see that Pakistan, like many other Lower-Middle Income Countries (LMICs)2, has not yet ultimately adopted the system that can significantly assist consumers in making healthier food decisions. In Pakistan, the prevalence of obesity, diabetes, and other non-communicable disease conditions is on the rise, posing a substantial economic and health burden on individuals and the healthcare system2. Many countries like the United States, Australia, and the United Kingdom use the traffic light nutrition labeling system, which is a valuable tool for empowering consumers to make informed food choices quickly 3. It provides a simple way for people to quickly assess the nutritional value of a product using a color-coding system3. Green labels indicate healthier options, amber labels suggest moderate consumption and red labels highlight food that should be consumed sparingly4. The simple color-coding system empowers consumers to make healthier decisions and can contribute to a reduction in diet-related diseases4. The traffic light system works particularly well in settings with high illiteracy rates, as is prevalent in Pakistan since it relies on simple color coding rather than textual information5. As consumers, we lack a clear and uniform method for evaluating the nutritional components of the food we buy. This deficiency not only obstructs the capacity to make healthy food choices but also sustains the prevalence of diet-related issues. Color-coded labeling would help people with low literacy levels to understand the nutrition information available on food products easily. However, Traffic Light nutrition labelling has not been adopted in Pakistan. To confront this challenge, policymakers, health organizations, and government authorities should take swift and decisive action. The government must take the lead in implementing clear regulations that mandate the use of traffic light nutrition labels on packaged food items. These regulations should accompany strict enforcement measures. Launching public awareness campaigns about the benefits of the traffic light system can help familiarize consumers with this approach and generate demand for healthier food products. Collaboration and engagement with food manufacturers and retailers to ensure a smooth transition to the traffic light system is imperative to encourage the production of healthier food consumption. Implement a system of periodic reviews and updates of the labeling system to ensure its collective effectiveness and relevance to the evolving nutritional landscape. ---Continue

Does the Eco-Score lead to a halo effect? Influence of a sustainability label on product perceptions and purchase intention

The Eco-Score is an approach to make the environmental impact of a food product visible using color-coded labeling. Previous research has shown the potential of organic and ethical labels to influence consumers’ perceptions of other product features – what is called the halo effect. Using an online questionnaire with a between-subject design and a representative sample for Germany (N = 1010), we examined whether the Eco-Score might also induce halo effects. Therefore, we evaluated how consumers assess the perceived environmental friendliness, expected tastiness, and perceived healthiness of packaged foods with or without an Eco-Score. We consider three different products (spaghetti, yoghurt, and crisps) in three treatment groups (Eco-Scores A, C, and E) and one control group (no label). For our statistical analyses, we employed repeated-measures ANOVAs and regression-based mediation analyses. Our results show that products are perceived as more (Eco-Score A) or less (Eco-Score E) environmentally friendly when labelled with the Eco-Score and this perception mediates the purchase intention positively or negatively, respectively. Furthermore, our results suggest that the Eco-Score can bias consumer perceptions of other food product characteristics. In particular, the Eco-Score E negatively influences expected tastiness and perceived healthiness, which lowers purchase intention. Regression-based moderation analyses show further that participants with high environmental or health concern are in part more susceptible to positive halo effects. However, overall, the moderator effects are small. The paper extends the literature on halo effects related to food labeling and hence provides important insights on perceptions of food products labelled with a color-coded scoring system. Theoretical and practical implications as well as avenues for future research are discussed.

Analysis of packaging design its colour coding and labelling of contained sugar in dairy and cereal products

The purpose of developing the colour coding system is to create better awareness and help consumers monitor and understand the sugar content of foods. Our research focused on food products (dairy products and cereal products on the Slovenian market) that contain so-called hidden sugars, as these can cause many health risks. The aim of the study was to raise awareness of the sugar content in dairy products and cereals through a packaging design with a uniform labelling and coding system. During the process of this research, few answers were provided to the following questions: How can a labelling system be designed to be clear and impartial, what is the hierarchy and layout of food information on packaging, and how can the system be coherently integrated with existing packaging? The impact of the information design on the consumer in the food packaging industry, which helps in further execution, was analysed. Based on the research, variants of a multi-colour labelling system were created, differing in primary information graphics, colour, placement and formats. The packaging for an imaginary brand and the placement of the code system were designed. Finally, the packaging design was implemented in the 3D models for each food group. The result of this research is a collection of packaging models with a labelling system that informs consumers about sugar content, facilitates decision-making and helps them control their food intake. The colour-coded labels were applied to the packaging in a uniform and coherent manner, which can provide sufficient attention and information.

Violence against healthcare workers during the phases of the COVID-19 Pandemic: a descriptive observational study from 2018 to 2023 in the metropolitan city of Genoa (North-Western Italy).

Violence against healthcare workers is an escalating public health concern, affecting the quality of care, and causing significant psychological and physical effects on healthcare professionals. This study analysed the trend in aggressions in healthcare settings in the pre-pandemic, pandemic, and post-pandemic periods. An observational descriptive study was conducted to analyse reports of violence against healthcare workers from January 2018 to June 2023 at a Local Health Authority "ASL3" in the Liguria region of Italy. The study considered variables such as the severity of aggression, professional category involved, and location of incident. Episodes of violence were classified according to severity by means of a colour-coded system. We used multinomial logistic regression to examine any associations between the pandemic phase and the various factors, while controlling for relevant variables. The number of reported aggressions rose from 48 in 2018 to 90 in 2022, with a partial count of 35 in the first half of 2023. The pandemic phase saw a rise in incidents classified as Green codes, which accounted for 58.3%, and a significant involvement of District Services. The post-pandemic phase showed a reversion to pre-pandemic levels but with an increase in Yellow codes (5.6%). Nurses were the most frequent victims, with figures ranging from 50.8% to 95.6% over the years. The Emergency Department and Psychiatric Services emerged as the most critical settings of aggressions, with incidents recorded in these areas constituting over half of the total number. However, an increase in violence was also recorded in district healthcare settings during the post-pandemic phase. There is an urgent need for comprehensive strategies for the prevention of violence in healthcare settings. The increasing trend in violence, especially during the pandemic, necessitates integrated approaches that encompass training, psychological support, security policies, and a strong organizational culture to promote safety and respect. Protecting healthcare workers is crucial to their wellbeing and the quality of healthcare delivery.

INCLUSIVE TECHNIQUES OF COLOR HARMONIZATION OF THE INTERIOR SPACE OF PUBLIC BUILDINGS

The work, based on systematized theoretical and practical experience, defines the main inclusive techniques of color harmonization of the interior space of public buildings in the aspect of comfortable perception of the architectural environment by groups of the population with limited mobility and people with special needs: the technique of using contrasting colors, the technique of using a color coding system, the technique of using Braille and tactile elements, the technique of application of light signals, the technique of using neutral colors for the floor and walls, the technique of using audiovisual signals, the technique of providing touch accessibility, the technique of color indicators of doors and entrance area, the technique of color coding of infrastructure. During the study of inclusive techniques of harmonizing the internal space of public buildings, several aspects that need improvement were identified. The introduction of tactile and sound indicators, effective use of contrasts and a color scheme allowed to create an environment that takes into account the needs of people with visual impairments. For the further development of inclusive spaces, it is recommended to take into account the needs of the community and use the latest research methods. The integration of tactile and sound indicators, the development of multimodal information systems and the application of technological innovations are important elements of increasing the effectiveness of inclusive design.

Position paper on working in the intensive care unit during pregnancy : DIVI recommendations for improving the situation of pregnant employees in the ICU

The Maternity Protection Act is intended to protect the mother and the child from hazards, excessive demands and damage to health in the workplace, and from financial disadvantages and loss of employment. However, the objectives defined by the Maternity Protection Act-the safety and health of the pregnant employee on the one hand and the prevention of disadvantages in working life on the other-are not yet adequately achieved in the intensive care unit (ICU). Implementation of the Maternity Protection Act to the benefit of all involved parties should also be promoted in the specialist areas represented by the DIVI, in particular the work of pregnant physicians and nursing staff and other working specialists (respiratory therapists, physiotherapists, speech therapists, psychotherapists, and social workers) in the ICU. The aim of this paper is to raise awareness of the need to consider each pregnant and breastfeeding staff member individually and to work together to find apersonal solution for continuing to work in the ICU. Possible ways and solutions to achieve this goal are outlined and practical examples are given for implementation in everyday clinical routine. These are also based on comprehensive presentation of activities according to atraffic light color-code system for all occupational groups. Arguments against pregnant employees working in the ICU are discussed and possible solutions are presented.

Position paper on working in the intensive care unit during pregnancy : DIVI recommendations for improving the situation of pregnant employees in the ICU

The Maternity Protection Act is intended to protect the mother and the child from hazards, excessive demands and damage to health in the workplace, and from financial disadvantages and loss of employment. However, the objectives defined by the Maternity Protection Act-the safety and health of the pregnant employee on the one hand and the prevention of disadvantages in working life on the other-are not yet adequately achieved in the intensive care unit (ICU). Implementation of the Maternity Protection Act to the benefit of all involved parties should also be promoted in the specialist areas represented by the DIVI, in particular the work of pregnant physicians and nursing staff and other working specialists (respiratory therapists, physiotherapists, speech therapists, psychotherapists, and social workers) in the ICU. The aim of this paper is to raise awareness of the need to consider each pregnant and breastfeeding staff member individually and to work together to find apersonal solution for continuing to work in the ICU. Possible ways and solutions to achieve this goal are outlined and practical examples are given for implementation in everyday clinical routine. These are also based on comprehensive presentation of activities according to atraffic light color-code system for all occupational groups. Arguments against pregnant employees working in the ICU are discussed and possible solutions are presented.

The European Volcano Observatories and their use of the aviation colour code system

Volcano observatories (VOs) around the world are required to maintain surveillance of their volcanoes and inform civil protection and aviation authorities about impending eruptions. They often work through consolidated procedures to respond to volcanic crises in a timely manner and provide a service to the community aimed at reducing the potential impact of an eruption. Within the International Airways Volcano Watch (IAVW) framework of the International Civil Aviation Organisation (ICAO), designated State Volcano Observatories (SVOs) are asked to operate a colour coded system designed to inform the aviation community about the status of a volcano and the expected threats associated. Despite the IAVW documentation defining the different colour-coded levels, operating the aviation colour code in a standardised way is not easy, as sometimes, different SVOs adopt different strategies on how, when, and why to change it. Following two European VOs and Volcanic Ash Advisory Centres (VAACs) workshops, the European VOs agreed to present an overview on how they operate the aviation colour code. The comparative analysis presented here reveals that not all VOs in Europe use this system as part of their operational response, mainly because of a lack of volcanic eruptions since the aviation colour code was officially established, or the absence of a formal designation as an SVO. We also note that the VOs that do regularly use aviation colour code operate it differently depending on the frequency and styles of eruptions, the historical eruptive activity, the nature of the unrest, the monitoring level, institutional norms, previous experiences, and on the agreement they may have with the local Air Transport Navigation providers. This study shows that even though the aviation colour code system was designed to provide a standard, its usage strongly depends on the institutional subjectivity in responding to volcano emergencies. Some common questions have been identified across the different (S)VOs that will need to be addressed by ICAO to have a more harmonised approach and usage of the aviation colour code.

Knowledge, Attitudes, and Practices of Nurses toward Risk Factors and Prevention of Falls in Older Adult Patients in a Large-Sized Tertiary Care Setting.

The objective was to assess the knowledge, attitudes, and practices of nurses toward the prevention of falls in older hospitalized patients. A cross-sectional study employing a 54-item questionnaire was conducted on 370 nurses at a tertiary care referral center. The mean age of the study population was 36.3 ± 7.7 years, with the majority being females (282; 76.8%). Most of them had attended fall prevention training (335; 90.5%). More than 98% knew fall prevention policies and safety goals, according to their response to a fall and risk assessment, but were less aware of the risk factors of falls, such as recurrent falls (61%), depression (44%), and lower-extremity numbness (40.5%). Similarly, 99% had positive attitudes toward risk assessment, fall prevention intervention, and response to a fall. Around 55% thought they were responsible for patients' falls, and 96% felt the need to undergo more training on fall prevention. Furthermore, 92% strictly followed fall prevention policies and 85.4% followed the color-coding system for high-risk patients. Despite the preventive measures in place, 33% encountered patient falls, and 82.2% experienced unwitnessed patient fall incidents in their units. Although the nurses had higher levels of knowledge about the policies, they lacked information on the risk factors. There is a significant scope that warrants great attention concerning the adherence to guidelines and the provision of fall prevention training programs, with a focus on the intrinsic causative factors of falls.

Validation of the Turkish version of the Modified Early Obstetric Warning System (MEOWS) chart.

The Modified Early Obstetric Warning System (MEOWS) is a score-based or color-coded system that detects changes in physiological parameters and enables earlier diagnosis and care of worsening obstetric patients. The aim of this study is to evaluate the tool's performance and contribute to its use in Türkiye by translating MEOWS into Turkish. This prospective and descriptive study, approved by the local ethics committee, included 350 obstetric in-patients who gave birth at Samsun Training and Research Hospital, Gynecology and Children's Hospital between April and August 2022. The study involved patients with a gestational week greater than 28 weeks and up to six weeks postpartum. The average age of the patients was 28.9±5.9 (18-40) years, with trigger values occurring in 34.6% (n=121) and morbidity occurring in 30.9% (n=108) of the cases. The most common trigger among the individual physiological indicators was high systolic blood pressure (28.3%). When the performance of MEOWS was evaluated, a statistically significant correlation was found between trigger and morbidity (Kappa=0.605; p<0.001). The sensitivity of MEOWS in estimating morbidity was 77.78% (95% confidence interval [CI]: 68.76-85.21%), specificity was 84.71% (95% CI: 79.55-89.00%), Positive Predictive Value (PPV) was 69.42% (95% CI: 62.40-75.64%), Negative Predictive Value (NPV) was 89.52% (95% CI: 85.67-92.43%), and accuracy was 82.57% (95% CI: 78.18-86.40%). MEOWS was found to be an effective screening tool for predicting morbidity in this study and performs well in Turkish with sufficient sensitivity, specificity, and accuracy. However, the inclusion of long-term results would provide a more comprehensive understanding of the effectiveness of MEOWS.

A step towards sustainability in current dental practice: a cross sectional study

Background: Preservation of planet should be of utmost importance. All practicing dentists collectively produce an amount of waste which can turn out to be extremely harmful to the environment. Biomedical waste management and eco-friendly approach in dental practice should be leveraged for a better future. Aim was to assess the changing trends regarding biomedical waste management and eco-friendly approach in regular practice among dentists of Ahmedabad. Methods: A questionnaire-based study consisting of 17 questions was conducted among practicing dentists of Ahmedabad city. A total of 301 dentists voluntarily participated in the study. Results: Most of the practicing dentists (98.7%) were aware about the biomedical waste management categories and 90.4% were known to the colour coding system used for waste segregation and disposal. A standard method of mercury waste management and sharps disposal was practiced by 53.7% and 88.4% of total participants respectively. Most of the participants were using disposable suction tips (91.6%) and disposable syringes (98.9%). However, 71.6% and 28.4% participants were using autoclavable patient drape, head cap and mask. Conclusions: Comparison based on experience revealed that dentists with lesser experience are more prone to having eco-friendly choices. Comparison based on qualification revealed that paediatric dentists were having the least eco-friendly approach in regular practice compared to other groups. Concept of eco-friendly dentistry was familiar to majority of the dentists but, use of various eco-friendly alternatives were not preferred equally by all dentists.

Is there evidence that length-based tapes with precalculated drug doses increase the accuracy of drug dose calculations in children? A systematic review.

The use of pediatric length-based weight estimation tapes with precalculated drug doses is advocated by major Advanced Life Support organizations, but concerns have been raised on the accuracy of these systems. The objective of this systematic review was to collect, review, evaluate, and create a synthesis of the current literature to establish whether there is high-quality evidence for use of length-based tapes in accurate drug dose administration. A further objective was to compare these tapes with other dosing aids. Eligible studies were identified and analyzed if they were peer reviewed, full text articles containing original data. Studies including any form of length-based precalculated drug dosing methodology in children aged 0 to 18 years were included. Eighteen studies met the inclusion criteria. The most studied of the tapes was the Broselow tape in 16 studies (88.9%). When these tapes were used on their own without additional reference material, they produced a substantial number of potentially harmful dosing errors (>20% error). No tape was superior to another. Using the tapes was better than using no dosing aid but was inferior to using both comprehensive drug dosing guides and novel color-coded medication administration systems. There was no high-quality evidence that the use of length-based tapes with precalculated drug doses leads to accurate drug dosing. However, comprehensive drug dosing systems were more effective at reducing dosing errors than were length-based tapes on their own. The confounding effect of weight estimation accuracy on drug dosing accuracy has not been sufficiently studied.

Joint polarization-color coding strategy based on Stokes parameter for robust strip-edge detection in 3D measurement

Stripe-edge detection of color fringe is crucial in structured light measurement. However, the robustness of color stripe-edge detection is affected by the color crosstalk, scattering, and the color filter in the color camera. This can lead to a decrease in imaging quality. In order to avoid the influence of color crosstalk, this paper analyzes the polarization properties of RGB channels and proposes a joint polarization-color coding strategy based on the Stokes parameter and a corresponding stripe-edge detection method. Compared with the traditional color-coded fringe measurement system, the monochrome camera can distinguish the color-coded fringe so that the influence induced by color crosstalk is eliminated completely. Furthermore, the influence induced by the scattering is reduced. The experiment shows that the robustness of strip-edge detection is remarkably improved, the nonparallelism of detected edges reduced by 32.4%, and the nonuniformity of detected edges reduced by 44.1%.

A Novel Approach for UPI Seamless Transaction with Colour Code System by CASS Using Cloud Computing

A Novel Approach for UPI Seamless Transaction with Colour Code System by CASS Using Cloud Computing

Color-Coding System for Labeling Surfaces on a Gross Specimen

Color-Coding System for Labeling Surfaces on a Gross Specimen

Evolving Orientation for Graduate Nurses Who Were Educated During COVID-19

Graduate nurses displayed a difficult time integrating into bedside nursing due to the reduction or elimination of in-person clinical experience related to COVID-19 precautions. Because they had limited clinical experiences, new graduate nurses needed more educational focus, as exhibited by poor progression throughout orientation. Routine orientation procedures used previously were not meeting the needs of the graduate nurses, as exhibited by increases in orientation time and turnover rate. Nursing education and leadership on inpatient women’s health, obstetric, or neonatal units. Implementation of a new orientation toolkit, with weekly expectations for the learner. This system is accompanied by rounding on the orientees biweekly to determine their educational needs and online learning formats to supplement clinical experience. The orientation toolkit includes a color-coded system, like a stoplight, to indicate expectations for patient assignments and skills. The color-coding system indicates expectations for the patient assignments and skill checklists. This system provides transparency between the preceptor and orientee to determine if expectations have been met. The orientation toolkit and check-ins with the leadership aim to improve communication with graduate nurses. The clinical experiences are paired with online learning modules to ensure a well-rounded orientation. A survey was conducted to determine the level of nurse satisfaction with nursing orientation. Survey respondents included nurses who completed orientation before the change and now are precepting with the new education plan, nurses who completed orientation before the new education plan, and nurses who were on orientation with the new education plan. Of 29 respondents, 72.7% reported a positive change in orientation and satisfaction with orientation. In a comparison of new-nurse turnover data from January 2021 to December 2021 and January 2022 to June 2022, there was a decrease in turnover, from 52.4% to 20.9%. To increase the knowledge base of nursing education to increase nursing satisfaction and decrease turnover.

A unique color-coded visualization system with multimodal information fusion and deep learning in a longitudinal study of Alzheimer's disease

PurposeAutomated diagnosis and prognosis of Alzheimer's Disease remain a challenging problem that machine learning (ML) techniques have attempted to resolve in the last decade. This study introduces a first-of-its-kind color-coded visualization mechanism driven by an integrated ML model to predict disease trajectory in a 2-year longitudinal study. The main aim of this study is to help capture visually in 2D and 3D renderings the diagnosis and prognosis of AD, therefore augmenting our understanding of the processes of multiclass classification and regression analysis. MethodThe proposed method, Machine Learning for Visualizing AD (ML4VisAD), is designed to predict disease progression through a visual output. This newly developed model takes baseline measurements as input to generate a color-coded visual image that reflects disease progression at different time points. The architecture of the network relies on convolutional neural networks. With 1123 subjects selected from the ADNI QT-PAD dataset, we use a 10-fold cross-validation process to evaluate the method. Multimodal inputs* include neuroimaging data (MRI, PET), neuropsychological test scores (excluding MMSE, CDR-SB, and ADAS to avoid bias), cerebrospinal fluid (CSF) biomarkers with measures of amyloid beta (ABETA), phosphorylated tau protein (PTAU), total tau protein (TAU), and risk factors that include age, gender, years of education, and ApoE4 gene. Findings/resultsBased on subjective scores reached by three raters, the results showed an accuracy of 0.82 ± 0.03 for a 3-way classification and 0.68 ± 0.05 for a 5-way classification. The visual renderings were generated in 0.08 msec for a 23 × 23 output image and in 0.17 ms for a 45 × 45 output image. Through visualization, this study (1) demonstrates that the ML visual output augments the prospects for a more accurate diagnosis and (2) highlights why multiclass classification and regression analysis are incredibly challenging. An online survey was conducted to gauge this visualization platform's merits and obtain valuable feedback from users. All implementation codes are shared online on GitHub. ConclusionThis approach makes it possible to visualize the many nuances that lead to a specific classification or prediction in the disease trajectory, all in context to multimodal measurements taken at baseline. This ML model can serve as a multiclass classification and prediction model while reinforcing the diagnosis and prognosis capabilities by including a visualization platform.