Personality Features Research Articles

Investigating the transdiagnostic potential of rumination in relation to Cluster B personality disorder symptoms.

This study examined several forms of repetitive negative thinking in relation to measures of Cluster B disorders to identify unique and co-occurring cognitive mechanisms contributing to these symptom presentations. MTurk participants (N = 725; 53% men; 76% White) completed categorical and dimensional trait-based measures of Cluster B disorders alongside six measures of rumination and worry. Oversampling strategies were used during participant recruitment to obtain a sample with clinically relevant personality features. Path analyses examined each form of repetitive negative thinking in relation to Cluster B measures while controlling for shared variance between each construct. Anger rumination demonstrated notable relations across all four Cluster B personality disorders. Similarly, sadness rumination was positively associated with all four Cluster B personality disorders. Self-critical rumination and depressive rumination were uniquely associated with borderline symptoms. Worry demonstrated negative associations with measures of narcissistic, histrionic, and antisocial/psychopathy symptoms. Findings expand previous research by highlighting probable transdiagnostic and distinguishing cognitive process contributing to the presentation of Cluster B personality pathology. However, partialling the influence of overlapping constructs presents notable challenges in identifying and interpreting unique relations between various forms of repetitive negative thinking and Cluster B symptoms. Future research investigating these relations within outpatient and inpatient samples may provide avenues for the development of effective cognitive-based interventions for treating these symptoms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

The native speaker model in Japan: constant and changing attitudes

ENGLISH ABSTRACT This paper describes a mixed methods study of Japanese first-year tertiary learners’ attitudes to English language learning models. It outlines the results from a survey comprised of a verbal guise test (measuring respondents’ attitudes to both linguistic and personality features) and vocabulary elicitation, which was administered to 87 participants. Following this, semi-structured interviews were conducted with 21 of these learners. Results of both the survey and interviews showed a strong preference for the native speaker model among participants, as well as negative views of localized Englishes. At the same time, participants were more likely to choose Japanese people as their ideal speaking models. In both cases, perceived personality, more than linguistic features, appeared to be a major factor behind participants’ attitudes. In addition, the findings showed the potential of Japanese language teachers’ use of English as a source of building student confidence, highlighting the importance of developing Japanese teachers’ confidence in their own Englishes.

Detection of JC and BK polyomaviruses in patients with colorectal cancer (CRC) by PCR

ABSTRACT Background Overall, 20–30% of all cancers are estimated to be linked to infectious agents. Polyomaviruses are oncogenic cause in rodent models, readily transform their cells, and cause chromosomal instability in animal and human cells in-vitro. Some reports have indicated the presence of JCPyV and BKPyV in some human tumors. The JCPyV and BKPyV genome encodes some transforming proteins such as LT-Ag. Thus, these viruses could cause or promote some neoplasia, such as lymphomas, pancreatic, prostate, and colorectal cancers. Colorectal cancer (CRC) is the third most common cancer in the world. Risk factors for developing CRC are associated with personal features or habits, such as age, lifestyle, and gut microbiota. Materials and Methods In this study, we examined the prevalence of JCPyV and BKPyV in the 23 fecal samples of CRC patients and 24 healthy samples (control group). Virus DNA was extracted by a Favorgen DNA extraction kit. The large T antigen of JCPyV and VP1 of BKPyV were investigated by optimized multiplex PCR. Results One of the samples was positive for the JCPyV (4.3%), while in the samples of healthy individuals, the JCPyV was negative. Also, positive results for BKPyV PCR were obtained for five cases (21.7%) in the samples of the CRC group and one case (4.1%) in healthy individuals. Conclusion The result showed no direct correlation between tumorigenesis and polyomavirus infections in CRC development. However, the exact role of BKPyV and JCPyV is still controversial and needs further study with larger sample size.

How Mobile Health Can Change the Contexts of Living With HIV and Engaging With Treatment and Care in Iran: A Realist-Informed Qualitative Study.

Mobile health (mHealth) interventions are increasingly used to address the challenges of living with HIV and engaging with antiretroviral therapy. A wealth of evidence supports the efficacy of mHealth in supporting living with HIV. Yet, there is a dearth of evidence on how mHealth improves outcomes, which features are effective, and why these work in a particular setting. This study uses stakeholder views, including patients, providers, peer supporters, counsellors, and program directors, to conceptualize how specific mHealth features could interact with contexts of living with HIV and mechanisms that shape engagement with treatment. The study is part of an ongoing research project on engagement with HIV care in Iran. We draw on the perspectives of recently diagnosed and more treatment-experienced patients and their providers, using purposive sampling, conducting 9 focus group discussions with a total of 66 participants, in addition to 17 interviews. Our findings suggest that mHealth designs that feature provider connection, proactive care, and privacy and personalization are expected to dilute the harsh contexts of living with HIV. We build on previously identified socioecological pathways that disrupt antiretroviral therapy in Iran and find that mHealth can enhance the relation between the health system and patients. Our findings suggest that personalized mHealth features and provisions can partially mitigate the compounded impacts of harsh socioecological pathways that impede treatment success in Iran. Our social constructivist study was augmented with realist-informed analysis and could have transferability to similar contexts that trigger similar mechanisms of treatment disruption.

'The Relationship Between Childhood Traumas and Social Cognition Through Theory of Mind and Alexithymia in Bipolar Disorder'.

This study aimed to investigate the potential differences in childhood trauma (CT), theory of mind (ToM), a significant component of social cognition, and alexithymia in bipolar disorder (BD) patients and healthy controls. The study included 50 BD patients who met the study criteria and were under follow-up at our clinic along with 50 healthy controls. The two groups were matched for age, gender, and educational status. A sociodemographic questionnaire, Childhood Trauma Questionnaire (CTQ), Toronto Alexithymia Scale (TAS), Dokuz Eylul Theory of Mind Index (DEZIKO), Hamilton Depression Rating Scale (HDRS), and Young Mania Rating Scale (YMRS) were applied to all participants. The CTQ-Total, TAS total, and DEZIKO total scores were significantly higher in the BD group compared to the healthy group (p < .001). A significant positive correlation was identified between the TAS total score and CTQ physical neglect (r = 0.472, p = .001), CTQ emotional neglect (r = 0.449, p = .001) and CTQ total scores (r = 0.5, p < .001) in the BD group. A statistically significant negative correlation was identified between the DEZIKO faux pas score and the CTQ physical neglect score (r = -0.437, p = .002). BD patients had more adverse childhood experiences, lower ToM abilities despite being in remission, and more pronounced alexithymic personality features compared to healthy controls. We also identified a relationship between ToM, alexithymia, and adverse childhood experiences in BD.

Эмпирическое исследование эгоцентризма как формы девиантного поведения в развитии моральной сферы личности

The relevance of study of egocentrism role in moral sphere development is conditioned by the necessity of deeper comprehension of interrelation between moral development and human social behavior determined by problematics related to deviant behavior manifestation. Due to this, the given article is directed to revelation of egocentrism features of young people and their relation to deviant behavior. To solve this task the empirical study, the main method of which became psychological techniques of egocentrism level diagnostics, of proneness to deviant behavior and techniques of values orientations system study, presenting the possibility to study personal features as integrated mark in relation to the possibility of deviant behavior revelation, was conducted. The study sample was composed by students of Dimitrovgrad engineering-technological institute — branch of NRNU MEPhI, in the age of 18–20 years, at the amount of 54 people (27 boys and 27 girls). Thanks to the conducted empirical study it was revealed that mechanism of interrelation between young people egocentrism and deviant behavior lies in the fact that they discover misrepresentation of self, and for them the overvaluation of own quantities is characteristic, at the same time there is little agreement of society ideas about themselves. Thus development of personality with egocentrism high level testifies deformation of development of communications to the people around, that causes difficulties in interactions to people. The presented results may be put in the basis of design of psychological-pedagogical program of preventing deviant behavior of young people.

Freelancing as an additional income: commercialization of personal ideas and activity features

Introduction. Ukraine has lost approximately 4.8 million jobs due to the Russian aggression, creating a significant deficit in traditional employment opportunities and leading to substantial internal migration and economic instability. The purpose of the paper is to systematically analyze the specific characteristics of freelancing as a form of additional income in Ukraine and to assess the potential for commercializing personal ideas through this form of employment. The study aims to provide a detailed examination of freelancing's economic content and organizational features and to highlight the skills and competencies freelancers acquire. Furthermore, it explores the legislative landscape and tax implications for freelancers in Ukraine, emphasizing the importance of this employment form in the current economic climate. Results. The study systematically identified and categorized the primary aspects of freelancing activities in Ukraine. Economically, freelancing is characterized as a form of labor organization where the worker provides professional services on a temporary or project basis while maintaining autonomy and self-employment. Key features of freelancing include self-employment, flexibility, project-based work, and the ability to work with multiple clients simultaneously. The research highlighted essential skills and competencies that freelancers develop. From an economic perspective, the paper analyzed how freelancers can commercialize their ideas, emphasizing the need for market adaptation, brand formation, initial investment, and intellectual property protection. The study also identified various opportunities for freelancers in the market and social networks across multiple fields. Legislative changes regulating labor relations and taxation of freelancers in Ukraine were examined, revealing the gradual legalization and normalization of freelance activities. Conclusion. The paper seeks to offer insights into how freelancing can serve as a viable alternative for those who have lost their jobs and how it can help sustain income levels and economic stability for displaced and other affected populations.

Person Re-ID: Tackling occlusion, labeled data, and privacy

Person re-identification (ReID) has become a critical component in various security and surveillance systems, necessitating accurate and robust identification of individuals across different camera views. The motivation for enhancing ReID systems stems from the need to improve public safety, prevent crime, and support forensic investigations. Despite significant advances, ReID faces several key challenges that hinder its deployment in real-world applications. This review paper addresses key challenges in person re-identification (ReID): overcoming occlusion, reducing dependence on labeled data, and addressing privacy concerns. Various techniques have been explored to tackle these issues effectively. For occlusion, part-based models, LCNNs, attention mechanisms, and adversarial training GANs have demonstrated robustness in capturing person features across diverse and complex environments. To mitigate dependence on labeled data, semi-supervised and unsupervised learning approaches leverage unlabeled data and self-learning capabilities. Additionally, multimodal fusion utilizes complementary information from different sources, significantly enhancing model generalization and performance. Privacy concerns are addressed through federated learning, which fosters collaboration across devices while safeguarding individual data privacy. In summary, this paper highlights diverse technological applications in ReID, offering valuable insights and guidance for future research and practical implementations in the field.

Statistical predictors of the co-occurrence between gambling disorder and problematic pornography use

Co-occurrence between gambling disorder (GD) and other mental disorders is common, but its association with problematic pornography use (PPU) remains unexplored. This study aimed to investigate relationships between sociodemographic variables, personality measures, psychopathology, emotional regulation, and impulsivity and the co-occurrence of GD and PPU using structural equation modeling (SEM). The sample consisted of 359 adults seeking treatment for GD. The short version of the Problematic Pornography Consumption Scale (PPCS-6) identified patients with GD + PPU. Psychopathology, impulsivity, emotional regulation, and personality were also assessed. Higher impulsivity levels statistically predicted co-occurrence between GD and PPU. Impulsivity mediated the relationship between younger age, maladaptive personality features, and emotional dysregulation and co-occurrence. Psychopathological distress did not directly associate with GD + PPU co-occurrence. Impulsivity relates importantly to the co-occurrence of GD and PPU. Younger age, maladaptive personality, and emotional dysregulation contribute to increased impulsivity levels and co-occurrence. The findings highlight the importance of addressing impulsivity in understanding and treating co-occurring GD and PPU.

Individualized Machine-learning-based Clinical Assessment Recommendation System.

Traditional clinical assessments often lack individualization, relying on standardized procedures that may not accommodate the diverse needs of patients, especially in early stages where personalized diagnosis could offer significant benefits. We aim to provide a machine-learning framework that addresses the individualized feature addition problem and enhances diagnostic accuracy for clinical assessments. Individualized Clinical Assessment Recommendation System (iCARE) employs locally weighted logistic regression and Shapley Additive Explanations (SHAP) value analysis to tailor feature selection to individual patient characteristics. Evaluations were conducted on synthetic and real-world datasets, including early-stage diabetes risk prediction and heart failure clinical records from the UCI Machine Learning Repository. We compared the performance of iCARE with a Global approach using statistical analysis on accuracy and area under the ROC curve (AUC) to select the best additional features. The iCARE framework enhances predictive accuracy and AUC metrics when additional features exhibit distinct predictive capabilities, as evidenced by synthetic datasets 1-3 and the early diabetes dataset. Specifically, in synthetic dataset 1, iCARE achieved an accuracy of 0·999 and an AUC of 1·000, outperforming the Global approach with an accuracy of 0·689 and an AUC of 0·639. In the early diabetes dataset, iCARE shows improvements of 1·5-3·5% in accuracy and AUC across different numbers of initial features. Conversely, in synthetic datasets 4-5 and the heart failure dataset, where features lack discernible predictive distinctions, iCARE shows no significant advantage over global approaches on accuracy and AUC metrics. iCARE provides personalized feature recommendations that enhance diagnostic accuracy in scenarios where individualized approaches are critical, improving the precision and effectiveness of medical diagnoses. This work was supported by startup funding from the Department of Psychology at the University of Kansas provided to A.A., and the R01MH125740 award from NIH partially supported J.M.G.'s work.

Borderline personality features in relationship to childhood trauma in unipolar depressive and bipolar disorders

BackgroundChildhood trauma, including emotional neglect, emotional abuse, physical abuse, and sexual abuse, may contribute to borderline personality features like affective instability, identity problems, negative relationships, and self-harm. This study aims to explore how different types of childhood trauma affect these features in bipolar versus unipolar depressive disorders. MethodsWe included 839 participants of the Netherlands Study of Depression and Anxiety (NESDA) with a lifetime diagnosis of major depressive disorder single episode (MDDS; N = 443), recurrent major depressive disorder (MDD-R; N = 331), or bipolar disorder (BD; N = 65). Multivariate regression was used to analyze data from the Childhood Trauma Interview and borderline features (from the self-report Personality Assessment Inventory). ResultsOn average, participants were 48.6 years old (SD: 12.6), with 69.2 % being women, and 50.3 % of participants assessed positive for childhood trauma. Adjusted analyses revealed that participants diagnosed with BD, followed by MDD-R, exhibited the highest number of borderline personality features. Additionally, within the entire group, a strong association was found between childhood trauma, especially emotional neglect, and the presence of borderline personality features. ConclusionGiven the high prevalence of childhood trauma and borderline personality features, screening for these factors in individuals with mood disorders is crucial. Identifying these elements can inform and enhance the management of the often fluctuating and complex nature of these comorbid conditions, leading to more effective and tailored treatment strategies.

The Effect of Consumer Personality Traits and Decision-Making Styles on Online Impulsive and Compulsive Buying Behaviors

The main subject of this study is impulsive buying and compulsive buying behaviors that can occur in consumers’ online shopping and are considered as the unusual or irrational aspects of purchasing. The study mainly focused on personal factors that may be the precursors of these behaviors. In this respect, the study aims to statistically analyze the relationships between the five-factor personality traits, consumer decision-making styles, impulsive buying, and compulsive buying variables based on the relational screening model. It aims to determine which personality and decision-making styles are associated with impulsive and compulsive buying. Within the scope of quantitative research, data was obtained through a survey method from 478 participants, which was determined through convenience sampling and analyzed. The findings from the analyses showed a significant negative relationship between agreeableness and impulsive buying behavior regarding personality traits and, similarly, between openness, conscientiousness, and agreeableness and compulsive buying behavior. It has been revealed that consumers who buy brand consciousness, fashion consciousness, recreational orientation, indecisiveness, impulsive, and habitual decision-making styles are more prone to impulsive and compulsive buying. The study’s findings are expected to contribute to understanding the personality and characteristic features of consumers’ behaviors.

Relationship between civil servants' personal characteristics and features of their self-actualization

Relationship between civil servants' personal characteristics and features of their self-actualization

How care leavers faced the challenges of the COVID-19 pandemic?

The COVID-19 pandemic has had multiple implications for the lives of care leavers, an already marginalized population. Although there has been a focus in the literature on the negative implications of the pandemic, and on the heightened risks and needs among this cohort, little attention has been paid to their resilience and to the way in which care leavers have coped. Based on resilience theory and conservation of resources (COR) theory, in this study we explored the coping resources and assets of care leavers during and following the pandemic from the perspective of 44 care leavers in Israel aged 18–29. Thematic analysis revealed four main themes: reliance on their own personal features and skills, future perceptions as a motivational aspect, past and current support from formal services and figures, and support from informal social networks. The findings indicate that the pandemic has offered a unique lens through which to consider care leavers’ strengths and resilience. Implications for policy and practice include highlighting the role of the state as a “corporate parent” in providing protection against the pandemic’s negative implications and emphasizing the importance of formal services and professional figures as central sources of support in care leavers’ coping and resilience.

Exploring Virtual Fashion Consumption through the Emotional Three-Level Theory: Reflections on Sustainable Consumer Behavior

The fast fashion industry has been widely criticized for its substantial consumption of resources and significant environmental pollution. In contrast, virtual fashion clothes are attracting attention from consumers and academics for their notable sustainability benefits and potential for fashion innovation. However, research on consumer acceptance of virtual clothes and the role of sustainability remains limited. This study aims to fill this gap by applying the Emotional Three-Level Theory to identify key virtual fashion attributes, including aesthetic, reality, personalization, presentation, sustainability, and inclusivity features, and evaluating their impact on acceptance using the Technology Acceptance Model (TAM). A survey of 503 Generation Z consumers in China, analyzed through structural equation modeling, reveals that perceived enjoyment, usefulness, and ease of use significantly influence the intention to adopt virtual fashion clothes. Aesthetic and realistic features enhance enjoyment, while personalization and presentation improve usefulness and ease of use. Sustainability features positively impact all three factors, promoting consumer acceptance. These findings offer theoretical insights for virtual fashion research and practical guidance for the fashion industry to leverage virtual technologies for environmental sustainability. Notably, the study emphasizes the potential of virtual clothes in promoting sustainable development in the fashion industry.

Trauma-related symptoms in adolescents: the differential roles of sexual abuse and mentalizing.

Major gaps remain in our knowledge regarding childhood sexual abuse (CSA) related symptoms in adolescent psychiatric inpatients, as well as potential resilience factors like mentalizing. CSA is a risk factor for the early emergence of borderline personality features, posttraumatic stress, and sexual concerns. Mentalizing, which involves the capacity to understand our reactions and that of others in psychological terms, is a resilience factor for self and interpersonal functioning. The aim of this study was to address knowledge gaps by examining the contributions of CSA and mentalizing in a latent factor composed of borderline personality features, posttraumatic stress, and sexual concerns in a sample of adolescent psychiatric inpatients. We hypothesized that CSA and mentalizing would independently explain the variance in this latent factor. Participants were 273 adolescents aged 12-17 recruited from an adolescent inpatient psychiatric clinic. They completed the Reflective Function Questionnaire for Youth (RFQ-Y), the Trauma Symptom Checklist for Children (TSCC), and the Borderline Personality Features Scale for Children (BPFS-C). CSA was assessed using the Child Attachment Interview (CAI), the Computerized Diagnostic Interview Schedule for Children (C-DISC), as well as the Childhood Trauma Questionnaire (CTQ). 27.5% of adolescent psychiatric inpatients reported CSA. CSA and mentalizing were independently associated with a latent factor consisting of posttraumatic stress, borderline personality features, and sexual concerns. CSA explained 5.0% and RF explained 16.7% of the variance of the latent factor. When we consider both the unique and the shared contribution of CSA and mentalizing, the model explained 23.0% of the variance of this factor. CSA and mentalizing independently explained variance in a latent factor constituted of borderline personality features, posttraumatic stress, and sexual concerns. The direct effect of mentalizing was stronger and mentalizing explained comparatively more variance of trauma-related symptoms in adolescent psychiatric inpatients. The findings are consistent with the theory that mentalizing is an internal resilience factor in adolescent psychiatric inpatients. By implication, clinical interventions focused on promoting the development of mentalizing, such as Mentalization Based Treatment, may palliate mental health difficulties manifested by adolescent psychiatric inpatients including those associated with CSA.

Overview of Personal Hygiene and Environmental Sanitation in Shared Living with Scabies: Literature Review

Introduction: Scabies is a disease caused by Sracoptes scabiei which is in the form of itching all over the body. This disease tends to occur in places with a fairly low Human Development Index and is one of the diseases that is still ignored in developing countries such as Indonesia. Scabies disease in Indonesia has a fairly high prevalence. This disease is closely related to personal hygiene and environmental sanitation in a person's residence. This disease is easier to spread when an individual's space is small and lives in the same place Objective: This study aims to provide information related to sanitary and personal hygine features with scabies disease in shared residences to minimize the prevalence of scabies disease Method: This study uses the method of reviewing literature on journal articles published within the last five years related to the topic of discussion. Data retrieval techniques using Google Scholar, Pubmed, and Scopus. Then, in the corresponding article eliminated is carried out. Result: Four different articles on shared residences namely orphanages, detention centers, foundations, and Islamic boarding schools have a poor sanitation and personal hygiene at high risk of scabies. These four residences have the same characteristics, namely co-living with limited personal space. The manager and those who live in a shared residence must have awareness in maintaining environmental sanitation and know the importance of personal hygiene. Conclusion: This study recommends to stakeholders, health care providers, and other parties to follow up on scabies prevention efforts. Moreover, for places that providing shared living needs to watch over the sanitation and personal hygiene from its environment and people who lived in the neighborhood.

안면인식결제가 사용자 저항과 이용의도에 미치는 영향

The modern society is undergoing tremendous changes due to technological innovation. The birth of new technologies such as artificial intelligence (AI), Internet of Things (IoT), big data, and cloud computing marks the beginning of the fourth industrial revolution. Various new industries are rapidly emerging as information and communication technology (ICT), artificial intelligence, big data, and other new technologies such as the Internet of Things are combined. Fintech is a technology that is attracting attention as new technologies and the financial industry merge. The concept of Fintech was born through the convergence of financial industry and information and communication technology by governments of all countries around the world and continuous innovation. Fintech is an innovation in the financial industly that uses new technologies. Use aiiificial intelligence, big data, cloud computing, the Internet of Things and other modern science and technology achievements to reform financial products, business models and business procedures. One of the most basic tasks in financial business is payment service. The development and introduction of new technologies has changed the way people pay. One of the notable fields in payment service is face recognition payment. Face recognition is being used in various fields due to its high accuracy and low invasiveness. Facial recognition payment is a technology that uses computer vision. It uses computers to mimic human vision, allowing computers to analyze images. It is a technology that implements identity authentication based on personal facial feature information. The purpose of this study is to analyze the effect relationship of facial recognition payment on usage intention. For basic statistical analysis of the questionnaire, SPSS 23.0, a statistical package, was used. For hypothesis testing, concentrated validity and discriminant validity were verified using the structural equation package Smart PLS 4.0. Infmmation technology factors that dete1mine face recognition payment were divided into system characteristics and user characteristics. A summary of the study follows. First, The system characteristics of the face recognition payment service were partially adopted for user resistance. Second, the user characteristics of face recognition payment had a significant effect on user resistance. Third, user resistance had a significant effect on intention to use.

DYNAMICS OF NICKNAMES OF RUSSIAN SERVICEMEN

Currently, the life of military societas is of an increased interest in society in various issues, in particular – the peculiarities of communication of the language personality of the said society’s representative. The article is devoted to the analysis of the variability of nicknames of modern Russian servicemen. The research material included the linguistic and lexis obtained by questioning and by direct interviewing of cadets of Russian military higher educational institutions in two stages with a time interval of 8 years, which allows drawing objective and reliable conclusions on the nature of the dynamics of the existence of nickname nominations in military societas. Semantic groups of nicknames, characteristics of the structure, features of functioning, psychological attitude of the carriers and the environment are given. Based on the comparative analysis, conclusions were drawn about the similar and distinctive features of existence and the variability of unofficial military anthroponyms. The results of the study make it possible to identify such features of a language personality as the specificity of human perception in military communication, priority characteristics of the personality as a whole, and features of associative thinking. The research materials can be used to conduct seminars and special courses in both civilian and military higher educational institutions. The experience presented is also important for further research in the field of onomastics, sociolinguistics and linguoculturology.

Application of Genetic Algorithm-Optimized BP Neural Network in Prognosis Prediction of Hemorrhagic Stroke

Clinical intelligent diagnosis and treatment of hemorrhagic stroke, as a combination of artificial intelligence and intelligent medical treatment, is more conducive to perfectly monitoring the pathological cycle changes of patients through data flow. Based on the BP neural network model, this paper constructs a neural network model based on GABP to predict the 90-day mRS Score of patients, and successfully accurately predicts the prognosis of patients with hemorrhagic stroke. Based on the relationship between the patient's prognosis and personal history, disease history, treatment methods and imaging features, the recommendations for clinical decision-making were made. In order to test the distribution of the data, a Shapiro-Wilk distribution test model was constructed to test whether there were significant differences in the distribution of multiple populations, and finally a conclusion was reached that 90-day mRS Was not related to gender. The GABP neural network model constructed in this paper overcomes the limitation of BP neural network in complex problems, and uses genetic algorithm to optimize the weight and threshold, which improves the performance and optimization efficiency of the model. Overall, the GABP-based neural network model represents an approach that integrates neural networks and genetic algorithms and has the potential to solve complex problems. Future research and development will help to further improve the performance, interpretability and applicability of the model, thus promoting its wide application in different fields.