Assessment Of Health Status Research Articles

An enhanced perception health state assessment method for subway sliding plug door transmission system

The monitoring data (current and rotational speed) of the subway sliding plug door transmission system changed positively and negatively with the acceleration and weight of the door. How to perceive the changes is a challenging problem in the health state assessment of transmission system. To address this problem, an enhanced perception health state assessment method was proposed for the transmission systems. In the method, firstly, the equivalent resistance force is calculated by monitoring the current and rotational speed data according to mechanical dynamic knowledge. Secondly, the sensitive features of normal and abnormal states are screened out from the enhanced dataset constructed by current, rotational speed data, and equivalent resistance force data. Finally, the health state of the transmission system is assessed using an integrated learning algorithm. The effectiveness of the method is verified by benchmark experimental data, and the results indicate that the method has a higher accuracy with four classifiers and a broader suitable range with varying door acceleration and weight.

Stages assessment of state of health in a lifetime based on the capacity variance of lithium batteries

To avoid the overuse or underutilization of lithium battery in practical applications, the state of health (SOH) of lithium battery should be assessed in time to ensure safety and maximize utilization. A health indicator (HI) is proposed to show the SOH of lithium battery in this paper. Firstly, the degradation mechanism of lithium battery is described based on the working principle and the aging phenomenon of lithium-iron phosphate battery, and the existing problems in the current research on battery aging phenomenon are expounded. Secondly, to deal with the hidden dangers caused by the aging problem of the battery, the variation of capacity variance is selected to construct the HI of lithium battery. Finally, the performance degradation state of lithium battery is divided into four stages according to the changing trend of the constructed indicators in the whole lifetime, which are the formation stage of the first solid electrolyte interface (SEI) film stage, the normal working stage, the new SEI film stage and the internal resistance rise stage. The battery data set from MIT-Stanford-Toyota Research Center is utilized to verify the proposed method. The results show that the performance of lithium batteries will accelerate degradation with temperature rapidly rising in the new SEI film stage; the internal resistance will increase sharply in the internal resistance rise stage, which can easily lead to accidents such as thermal runaway. The proposed health state assessment method compares with other methods, and it is shown that the proposed method helps to ensure safety and maximize the utilization of lithium batteries.

Vital signs estimation in elderly using camera-based photoplethysmography

In the context of Ambient Assisted Living, the demand for healthcare technologies development has been increased in the last two years by the current global health situation. The contagious nature of COVID-19 warrants inevitability to the thought of easing a continuous measurement of vital signs such as Heart Rate, Breath Rate, and SpO2 in a non-invasive manner, contributing of fundamental importance in the assessment of health status especially among frail and/or elderly individuals. A widely diffused method for contactless vital signs monitoring is remote photoplethysmography from facial video streams that, contrary to traditional contact measurement techniques, allows the measurement of vital parameters without the need for wearable sensors (generally considered uncomfortable, especially by the elderly), even with commercial and low-cost digital cameras. This paper proposes the design and implementation of a new pipeline for estimating Heart Rate, Breath Rate, and SpO2 values, and its integration on Raspberry Pi 4 as an elaboration unit. The pipeline provides specific algorithmic blocks to improve vital signs estimation in elderly subjects as it is made more difficult by the skin tone and the presence on the face of wrinkles, folds, and moles. Quantitative evaluations on our dataset containing the acquisition of only elderly older than 65 years of age demonstrate the validity of the proposed pipeline. For validation against the state of the art, tests were also conducted on three standard benchmark datasets containing video with subjects of varying ages. Again, the pipeline proved to be robust concerning the estimation of vital signs considered in the present work.

Damage Identification Method of Tied-Arch Bridges Based on the Equivalent Thrust-Influenced Line

Early tied-arch bridges cannot satisfy the current traffic load demand due to their load grades and maintenance levels. Also, these tied-arch bridges have accumulated structural damage with increasingly prominent safety risks. In order to accurately evaluate the characteristics of tied-arch bridges’ structural-influenced lines and identify damage of their arch ribs and suspenders, two analytical solutions are derived and established in this paper for the thrust-influenced lines of parabola and catenary two-hinged arches with a tie beam. A new method and an index for identifying damage of arch ribs and suspenders of tied-arch bridges are proposed. The results of numerical simulation in this paper verified that the proposed analytical solution has good analytical accuracy in practice on those two-hinged nonflat arches. With the use of equivalent thrust-influenced line difference curvature, the effectiveness of damage identification and the verification method were verified on the tie beam, suspender, and arch rib of plane tie arch structure as well as the suspender and arch rib of tied-arch bridges in this research. Furthermore, combining with grey relation analysis, the noise immunity of the proposed index method can be verified. Also, thrust-influenced line recognition based on VMD (variational mode decomposition) is introduced, and a practical process of bridge health assessment based on the quasistatic-influenced line loading of three-axle heavy vehicles is established. Theoretical analysis and numerical verification show that the calculated error of the analytic solution of two-hinged arches with a rise-span ratio greater than 1/8 is less than 9.57%, and the error decreases with the increase of the rise-span ratio. Therefore, it can be applied to the calculation and analysis of tied-arch bridges with a rise-span ratio range between 1/4 and 1/5. With the equivalent thrust-influenced line index proposed in this paper, the damage of suspenders and arch ribs of tied-arch bridges can be accurately located. It has been found that the proposed method is more effective to identify the damage of suspenders than the damage of arch ribs does, showing good noise immunity. In summary, this research has provided theoretical support for arch bridge design and evaluation. Combining with existing bridge-monitoring methods, the new bridge damage identification method proposed in this paper has the prospect of realizing the normal health status assessment of existing tied-arch bridges.

Evaluating and forecasting methods for assessing the health status of cables under the load of large-scale electric vehicle charging

The assessment of the health status and prediction of the lifespan of cable equipment are critical for ensuring the stability and efficiency of the power grid. This paper develops a temperature-current-capacity-life calculation model for cables, considering the fast and slow charging demands of electric vehicles (EVs). Analyses under scenarios of rapid and slow charging demands are conducted, introducing a cable health index and establishing a health status assessment framework based on this index. The framework accounts for various factors leading to cable faults, offering a comprehensive evaluation of the health status of cables with different fault rates. Building upon this, a prediction method using the Fire Hawk Optimization (FHO) Algorithm and Convolutional Neural Network (CNN) is proposed. This method enhances performance by optimizing the hyperparameters of Bidirectional Gated Recurrent Unit (BiGRU) through FHO, effectively searching and determining the optimal hyperparameter configuration. The impact of different scenarios and varying EV penetration rates on cable temperature is analyzed through case studies, facilitating the assessment and prediction of health status.

The Million Veteran Program 1990-1991 Gulf War Era Survey: An Evaluation of Veteran Response, Characteristics, and Representativeness of the Gulf War Era Veteran Population.

To address gaps in understanding the pathophysiology of Gulf War Illness (GWI), the VA Million Veteran Program (MVP) developed and implemented a survey to MVP enrollees who served in the U.S. military during the 1990-1991 Persian Gulf War (GW). Eligible Veterans were invited via mail to complete a survey assessing health conditions as well as GW-specific deployment characteristics and exposures. We evaluated the representativeness of this GW-era cohort relative to the broader population by comparing demographic, military, and health characteristics between respondents and non-respondents, as well as with all GW-era Veterans who have used Veterans Health Administration (VHA) services and the full population of U.S. GW-deployed Veterans. A total of 109,976 MVP GW-era Veterans were invited to participate and 45,270 (41%) returned a completed survey. Respondents were 84% male, 72% White, 8% Hispanic, with a mean age of 61.6 years (SD = 8.5). Respondents were more likely to be older, White, married, better educated, slightly healthier, and have higher socioeconomic status than non-respondents, but reported similar medical conditions and comparable health status. Although generally similar to all GW-era Veterans using VHA services and the full population of U.S. GW Veterans, respondents included higher proportions of women and military officers, and were slightly older. In conclusion, sample characteristics of the MVP GW-era cohort can be considered generally representative of the broader GW-era Veteran population. The sample represents the largest research cohort of GW-era Veterans established to date and provides a uniquely valuable resource for conducting in-depth studies to evaluate health conditions affecting 1990-1991 GW-era Veterans.

Collecting electronic health record (EHR) to support holistic spa therapy as a diagnostic procedure for advance care planning (ACP): a literature review

Developing technology and collecting electronic information are fostering the creation of new procedures and clinical decision-support tools for therapy in rehabilitation hospitals and spa resorts. Electronic health records (EHR) does not take into account the complementarity of activities with the need for effective patient care in rehabilitation and sanatorium hospitals and spas. This paper aims to present a proposal for a complementary electronic anamnestic tool (CEAT) in a holistic approach to the patient's prevention and rehabilitation process in a rehabilitation hospital or a spa resort using EHRs that will be effective in ACP. To achieve the objective thus formulated, the literature was reviewed and thoroughly analyzed in terms of stratification and classification of the tools using EHRs. designed CEAT tool consists of a history of physical status (weight, height, waist circumference), neurological incidents, cardiovascular disorders, past treatments/surgeries, psychiatric disorders, and level of daily physical activity, supplemented by survey questionnaires selected in a literature review based on their widespread usefulness supported by scientific evidence. The questionnaires included in CEAT allow for a multifaceted assessment of the patient's health status, taking into account their physical state, functional capacity, and well-being.

Time to assess more than prognosis: advancements and challenges in transcatheter tricuspid valve interventions.

We provide an overview about the current landscape of transcatheter tricuspid valve interventions (TTVI) and summarize recent findings from trials including TRILUMINATE, TRILUMINATE Pivotal, bRIGHT, TRICLASP, TRISCEND, TRISCEND II, TRICUS, and Cardioband TR EFS. These studies have demonstrated the safety and efficacy of TTVI. Yet, they have failed to show a prognostic benefit over conservative treatment. On the other hand, significant improvements in health status assessments have been observed. Assessment of right ventricular (RV) function prior to tricuspid interventions is crucial, as changes in preload and afterload may lead to RV failure which is associated with a high mortality. Therefore, this review emphasizes the impact of TTVIs on quality of life and explores the influence of RV dysfunction on therapeutic success and prognosis.

On the use of MTInSAR data and UAV photogrammetry to monitor the behavior of existing bridge portfolios

Bridges play a vital role in road networks, and ensuring their safety and preservation is of utmost importance to both management companies and the scientific community. On the other hand, ensuring a continuous assessment of the bridge portfolios health state requires high costs (e.g., sensor-based monitoring), which leads to employ different techniques to identify the most critical cases and implementing risk mitigation measures. With this goal in mind, this paper presents the application of two of the most actual and attractive cost-effective techniques for purpose of existing bridge portfolios health state monitoring: (a) multitemporal interferometry via synthetic aperture radar (MTInSAR) data; (b) unmanned aerial vehicle (UAV) photogrammetry. In detail, the paper deals with the use of the two above methodologies, where MTInSAR data can be employed to perform a qualitative assessment of the spatial displacements and velocities characterizing the focused bridges, while UAV flight surveys can be used to identify the occurrence of displacement phenomena (e.g., landslides) in the area immediately close around the observed structures. After describing pros and cons of the two approaches, an application is provided on an existing bridge, for which MTInSAR temporal series are analyzed over 1 year of observation, while UAV surveys are performed at the start and at the end of the considered period. From the combination and the comparison of the techniques, some insights are provided, opening new scenarios in the field of the structural health monitoring of existing bridges portfolio.

Predictive factors of surgical complications after pelvic exenteration for gynecological malignancies: a large single-institution experience.

To evaluate pre-operative predictors of early (<30 days) severe complications (grade Dindo 3+) in patients with gynecological malignancy submitted to pelvic exenteration (PE). We retrospectively analyzed 129 patients submitted to surgery at Fondazione Policlinico Gemelli between 2010 and 2019. We included patients affected by primary or recurrent/persistent cervical, endometrial, or vulvar/vaginal cancers. Post-operative complications were graded according to the Dindo classification. Logistic regression was used to analyze potential predictors of complications. We performed 63 anterior PE, 10 posterior PE, and 56 total PE. The incidence of early severe post-operative complications was 27.9% (n=36), and the early mortality rate was 2.3% (n=3). More frequent complications were related to the urinary diversion and intestinal surgery. In univariable analysis, hemoglobin ≤10 g/dL (odds ratio [OR]=4.2; 95% confidence interval [CI]=1.65-10.7; p=0.003), low albumin levels (OR=3.9; 95% CI=1.27-12.11; p=0.025), diabetes (OR=4.15; 95% CI=1.22-14.1; p=0.022), 2+ comorbidities at presentation (OR=5.18; 95% CI=1.49-17.93; p=0.012) were predictors of early severe complications. In multivariable analysis, only low hemoglobin and comorbidities at presentation were independent predictors of complications. Pelvic exenteration is an aggressive surgery characterized by a high rate of post-operative complications. Pre-operative assessment of comorbidities and patient health status are crucial to better select the right candidate for this type of surgery.

Assessment of Oral Health Status and Treatment Needs in Geriatric Day-care Centers in New Delhi

Abstract Background: Poor oral health plagues the elderly all over the world. Many do not recognize the severity of tooth loss, dental caries, and periodontal disease that affect them and do not seek treatment. Objectives: To assess the oral health status and treatment needs among the elderly population visiting the old age homes in New Delhi. Materials and Methods: A cross-sectional study was conducted among seven purposively selected geriatric day-care centers in New Delhi, and a convenience sample of 518 elderly patients was obtained. The WHO Oral Health Assessment Form 1997 was used to record the clinical findings. Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS) software version 28, and descriptive results were obtained. Results: Four hundred and twenty-eight males (82.6%) and 90 females (17.3%) were examined. The older adults presented high tooth loss with an average of 7 missing teeth, and consequently a high prosthetic need with poor denture hygiene. Most of the older adults were categorized as having “fair” oral hygiene, but almost all respondents presented some degree of periodontal disease. Conclusion: The current study highlighted that the majority of the patients reported to be satisfied with their oral health status, but most had periodontal problems followed by an increased need for prosthesis.

An Assessment of Population and Health Status of Native Fish Species from Rivers Kabul and Swat, Khyber Pakhtunkhwa, Pakistan

An Assessment of Population and Health Status of Native Fish Species from Rivers Kabul and Swat, Khyber Pakhtunkhwa, Pakistan

Assessment of Oral Health Status and Factors Associated with Oral Health-related Quality of Life among Geriatric Population in Rural South India – A Community-based Cross-sectional Study

Abstract Introduction: In recent times, there is an increase in life expectancy leading to demographic transition toward aging population in both developed and developing countries. Oral health represents a major concern for general health; hence, the oral health of older people is increasingly important. One particularly meaningful factor is the number of teeth which provide information about the functionality of the masticatory system, an esthetic smile as well as an esthetic profile. Losing teeth can be psychologically traumatic, socially damaging, and functionally limiting, thereby affecting the quality of life (QoL). Aim: The aim of this study was to assess the oral health status and factors associated with poor oral health-related QoL in geriatric population (aged &gt;60 years) in rural South India. Materials and Methods: A community-based cross-sectional study was conducted among 437 elderly in Kaniyambadi block of Vellore district. Sociodemographic details were collected directly by face-to-face interview, and the elderly were subjected to oral examination for oral health status. Oral health-related quality of life (OHrQoL) was measured using the Geriatric Oral Health Assessment Index (GOHAI). Factors associated with poor OHrQoL were analyzed using multiple logistic regression. Results: The study population comprised 31.1% (n = 136) of males and 68.9% (n = 301) of females, with a mean age of 68 (standard deviation – 6.9) years. On oral examination, the prevalence of dental caries and any type of edentulism was 51.5% (n = 225) and 82.4% (n = 360), respectively. The prevalence of complete edentulism was 10.1% (n = 44). By assessing oral health-related quality of life using the revised GOHAI tool, 30 (6.9%) had high scores between 34 and 36, 166 (38%) had scores between 31 and 33, and 241 (55.1%) had low scores (≤30). In the multivariate analysis, age &gt;70 years (odds ratio [OR] =1.92, 95% confidence interval [CI] = 1.2–3.06, P = 0.006), male gender (OR = 1.78, 95% CI = 1.05–3.3, P = 0.033), and edentulism/severe tooth loss (OR = 8.64, 95% CI = 3.19–23.87, P &lt; 0.001) had significantly higher odds for poor OHrQoL. Edentulism/severe tooth loss was also significantly associated with undernutrition (OR = 12.5, 95% CI = 6.56–23.81, P &lt; 0.001). Conclusion: The burden of dental caries and edentulism in rural South India was high. The prevalence of edentulism had a significant impact on the OHrQoL. This study highlights the need for researchers to understand the importance of edentulism and its impact on overall health of the elderly, thereby focusing on health programs inclusive of oral health promotion and prevention.

Quantitative analysis of sweat evaporation loss in epidermal microfluidic patches.

Sweat analysis is identified as a promising biochemical technique for the non-invasive assessment of human health status. Epidermal microfluidic patches are the predominant sweat sampling and sensing devices. However, the sweat stored inside the patches may suffer from evaporation loss of moisture, which can increase the concentration of biomarkers and cause the biochemical analysis results of sweat to deviate from the actual results. This study focuses on quantitatively analysing the sweat evaporation loss within epidermal microfluidic patches. Analytical models based on the dissolution diffusion mechanism and corresponding partial differential equations for the diffusion process were initially developed. The analytical solution of the equation was derived using the method of separation of variables, and the steady-state concentration distribution of water in the materials of microfluidic patches was calculated when considering the application of epidermal microfluidics. Evaporation losses of sweat through different paths were quantitatively calculated and analysed, including permeation through covers, diffusion along microchannels, and absorption by sidewalls. Then, experiments on the evaporation loss of sweat within microfluidic patches were conducted to validate the theoretical calculations and analytical results. At last, the design of the anti-evaporation structure for microfluidic patches was discussed. This study can provide theoretical and experimental references for the design of water-retention structures in epidermal microfluidic patches, which significantly enhances the overall reliability of sweat biochemical analysis results.

A translocation fluorescent probe for analyzing cellular physiological parameters in neurological disease models.

Neurological disorders are closely linked to the alterations in cell membrane permeability (CMP) and mitochondrial membrane potential (MMP). Changes in CMP and MMP may lead to damage and death of nerve cells, thus triggering the onset and progression of neurological diseases. Therefore, monitoring the changes of these two physiological parameters not only benefits the accurate assessment of nerve cell health status, but also enables providing key information for the diagnosis and treatment of neurological diseases. However, the simultaneous monitoring of these two cellular physiological parameters is still challenging. Herein, we design and synthesize two quinolinium-carbazole-derivated fluorescent probes (OQ and PQ). As isomers, the only difference in their chemical structures is the linking position of the carbazole unit in quinoline rings. Strikingly, such a subtle difference endows OQ and PQ with significantly different organelle-staining behaviors. PQ mainly targets at the nucleus, OQ can simultaneously stain cell membranes and mitochondria in normal cells, and performs CMP and MMP-dependent translocation from the cell membrane to mitochondria then to the nucleus, thus holding great promise as an intracellular translocation probe to image the changes of CMP and MMP. After unraveling the intrinsic mechanism of their different translocation abilities by combining experiments with molecular dynamics simulations and density functional theory calculations, we successfully used OQ to monitor the continuous changes of CMP and MMP in three neurological disease-related cell models, including oxidative stress-damaged, Parkinson's disease, and virus-infected ones. Besides providing a validated imaging tool for monitoring cellular physiological parameters, this work paves a promising route for designing intracellular translocation probes to analyze cellular physiological parameters associated with various diseases.

Assessment of the monumental trees health condition from Brasov area using Arbotom Sonic Tomograph

Assessment of the monumental trees health condition from Brasov area using Arbotom Sonic Tomograph

Состояние здоровья и субъективная оценка качества жизни у женщин перед оперативным лечением (миомэктомией)

Abstract Aim. To evaluate the health status and quality of life of women before surgical treatment (myomectomy). Design. Cross-sectional study. Materials and methods. The study was conducted in 2022–2023 at the clinical sites of the Department of Obstetrics and Gynecology with a course of perinatology at the Medical Institute of the RUDN University in the State Clinical Hospital named after. V.M. Buyanova, gynecological department and antenatal clinic No. 5 of the State Budgetary Healthcare Institution City Clinical Hospital No. 1 named after. N.I. Pirogov. Based on an analysis of medical records using a continuous sampling method, 90 women of reproductive age (15–49 years according to the World Health Organization classification) with uterine fibroids were included in the study. An analysis of complaints, general and obstetric-gynecological anamnesis, clinical, laboratory and instrumental examinations of patients was carried out, and women were questioned using the UFS-QOL questionnaire. Results. The average age of the studied patients was 41.4 years. 44 (48.9%) women had heavy menstruation. In the structure of extragenital diseases, the most common history cases were iron deficiency anemia — 42 (46.7%) cases, hypertension — 9 (10%) and obesity — 12 (13.3%), and among gynecological diseases, abnormal uterine bleeding prevailed — in 39 (43.3%) patients. Analysis of clinical blood test data showed that 11 (12.2%) women had moderate anemia, and 39 (43.3%) had mild anemia. A decrease in hemoglobin level was accompanied by the presence of microcytosis (MCV — 76.5 ± 4.2 pg) and hypochromia (MCH — 24.8 ± 4.2 pg). Complaints of weakness, decreased ability to work and endurance were detected in 43 (47.8%) patients with anemia, 8 (8.9%) women noted dizziness, and 2 (2.2%) had episodes of chest discomfort and rapid heartbeat . It was noted that, according to the UFS-QOL questionnaire, all patients determined the severity of symptoms of uterine fibroids as moderate (43.02 ± 18.39 points) with fairly low indicators of all quality of life parameters in most women: in 31 (34.4%) women the score did not exceed 50 points, which can be regarded as low quality of life, 38 (42.2%) had no more than 75 points — moderately reduced. Analysis of data from women with uterine fibroids according to the odds ratio theory revealed the following patterns: when the size of the myomatous node is 40 mm or more, the chance of heavy menstruation statistically significantly increased (odds ratio (OR) = 6.333, 95% confidence interval (CI) — 1.884–15.025, p &lt;0.05), with 35 mm or more, the risk of IDA increased (OR = 3.167, 95% CI — 1.291–7.769, p &lt; 0.05). There was no statistically significant relationship between the development of anemia and the location of myomatous nodes (p &gt; 0.05). Conclusion. Reduced quality of life, increased levels of anxiety, sexual dysfunction, heavy menstruation associated with uterine fibroids determine the need for early diagnosis and comprehensive treatment of such patients. Key words: uterine fibroids, abnormal uterine bleeding, iron deficiency anemia.

População em situação de rua: fatores para utilização dos serviços de saúde

Abstract Objective To analyze the association between sociodemographic and economic factors, living conditions and use of health services by people experiencing homelessness in Belo Horizonte. Methods Cross-sectional, analytical and quantitative study of 390 people experiencing homelessness carried out in the central region of Belo Horizonte, MG. Data were collected with the application of a questionnaire between September and December 2021. The Pearson’s chi-square test and a prevalence ratio with a 95% confidence interval were used in data analysis. Poisson regression was used to verify associations related to the use of health services. The Andersen’s behavioral model was used as a theoretical framework. Results The population was predominantly male and brown. Participants reported having sought a health service and 57.5% said they had sought Primary Health Care services. Significant associations were identified between participation in social movements (PR=1.26; 95%CI: 1.01-1. 57), own choice as a reason for going to the streets (PR=1.32; 95% CI: 1.05-1.66), good assessment of health status (PR=0.68; 95% CI: 0.54 -0.87), use of crack (PR=0.77; 95% CI: 0.60-0.98) and medication (PR=1.24; 95% CI: 1.03-1.49), with the use of health services. Conclusion The use of crack and medication, positive self-assessment of health, own choice as a reason for going to the streets and participation in social movements represent predisposing and need factors in Andersen’s behavioral model, which were associated with the use of services by people experiencing homelessness.

Medicine of the future: the role of artificial intelligence in optimizing nutrition for the health of the Russian population

One of the most pressing medical, social and government tasks is to ensure health saving, improve the quality of life and increase the life expectancy of the Russian population. The most important lever to ensure the solution of these issues is the optimization of nutrition and the use of methods of artificial intelligence (AI) and new information technologies to support decision-making in this area. The purpose of the study was to familiarize specialists with the Scientific Instrument for Nutrition Analysis (SINA), created on the basis of AI technologies to optimize nutrition and prevent alimentary diseases in order to preserve the health of the population of the Russian Federation. Results. A patent was created and received for a scientific web tool (SINA) based on AI technologies for actual nutrition analyzing with subs equent assessment of health status and generation of recommendations, including a personalized diet, which is formed based on individual human needs for energy, nutrients and bioactive compounds, taking into account genome, gender characteristics, age, food preferences, profession, diseases, medication treatment, clinical blood parameters, individual morphological and constitutional characteristics, his physical activity, etc. Conclusion. The results of using SINA can reduce the labor costs of doctors; personalize diets as much as possible taking into account many factors; increase patient adherence to the prescribed diet and recommendations; increase public awareness of nutrition issues, reduce morbidity rates and improve public health. The high-tech approach using AI is advanced and is capable of solving many key challenges in the field of health care, prevention and medicine in general, and improve the quality of life of the population.

Assessment of health status of workers in plastic industry, Egypt

Assessment of health status of workers in plastic industry, Egypt