Research Background: Suicide is a global public health challenge, but there is still significant uncertainty regarding the relationship between behavioral and physiological factors and suicide attempts (SA). Previous studies often focus on limited hypothesized factors such as mental illnesses (e.g., depression), personality and psychological traits...
Study on the Genetic and Environmental Effects of Adverse Childhood Events, Mood and Anxiety Disorders, and Substance Dependence I. Background and Significance Adverse childhood events (ACE) often have profound effects on an individual’s mental health and substance dependence. Previous studies have shown a close relationship between ACE and mood an...
Research Report: Causal Effects of Mental Well-being on Healthy Aging Research Background With the significant increase in average life expectancy, aging issues have become increasingly prominent. Challenges such as comorbidity, disability, and the overall social stability of healthcare services and finances have become more severe. Achieving healt...
Application of Physiological Data in Human-Robot Interaction with Anthropomorphic Service Robots: Affect-HRI Dataset Background and Significance In interactions between humans and humans, as well as humans and robots, the interacting entity can influence human emotional states. Unlike humans, robots inherently cannot exhibit empathy and thus cannot...
Background and Research Motivation It is well-known that food nutrition is closely related to human health. Scientific research has shown that improper dietary nutrition is linked to more than 200 diseases. Especially when considering the metabolic processes of gut microbiota, the complex interactions between food nutrients and diseases become diff...
Predicting Future Diseases: Integration of Temporal Knowledge Graphs and Medical Ontologies Electronic Health Records (EHRs) are indispensable tools in modern medical institutions. They record detailed health histories of patients, including demographics, medications, lab results, and treatment plans. This data not only improves the coordination an...
Research on Medical Package Recommendation Systems: Heterogeneous Graph Neural Network Based on Dual-Level Interaction Awareness With the widespread application of electronic health records (EHRs) in the medical field, how to mine potential and valuable medical knowledge to support clinical decision-making has become an important research direction...
Application of Knowledge-Enhanced Graph Topic Transformer in Interpretable Biomedical Text Summarization Research Background Due to the continuous increase in the volume of biomedical literature, the task of automatic biomedical text summarization has become increasingly important. In 2021 alone, 1,767,637 articles were published in the PubMed data...
Multiple Prior Knowledge Graph Neural Network in Multi-Omics Data Analysis Background Introduction Precision medicine is an important field for the future of healthcare as it provides personalized treatment plans for patients, improving treatment outcomes and reducing costs. For instance, due to the complex clinical, pathological, and molecular cha...
Federated Learning Using Model Projection for Multi-Center Disease Diagnosis Background Introduction With the rapid development of medical imaging technology, research on automated diagnostic methods has shown good performance on single-center datasets. However, these methods often find it difficult to generalize to data from other healthcare facil...