Innovative Research Award
Shuyu Han — Peking University, China
Shuyu Han is a researcher affiliated with Peking University whose scholarly record includes work connecting machine learning, network analysis, digital health, psychosocial research, and evidence based nursing. Her publications address mental health, symptom relationships, social support, stigma, and technology enabled interventions, particularly in research involving people living with HIV. Her work also encompasses psychological profiles, interpersonal personality prediction, dementia care recommender systems, and mobile health applications. These studies demonstrate the application of quantitative and computational approaches to clinically relevant questions involving multidimensional health information, longitudinal relationships, and digitally enabled approaches to assessment and care. [1]
Abstract
Shuyu Han is a researcher affiliated with the School of Nursing at Peking University whose published work combines machine learning, network analysis, digital health, psychosocial research, and evidence based nursing. Her studies examine complex health patterns, symptom relationships, social support, stigma, and technology enabled interventions, with applications to people living with HIV. Her publication record also includes research on psychological profiles, interpersonal personality prediction, dementia care recommender systems, and mobile health applications. Across these studies, computational and quantitative methods are applied to clinically relevant questions, supporting investigation of multidimensional health information, longitudinal relationships, and digitally enabled approaches to assessment and care. [1] [2]
Keywords
Machine learning, network analysis, mental health symptoms, psychological symptom networks, interpersonal personality prediction, digital health, mobile health applications, social support, HIV related health research, stigma, latent profile analysis, dementia care, recommender systems, longitudinal analysis, psychosocial research, evidence based nursing, personalized health management, and quantitative methods.
Introduction
Shuyu Han’s research profile reflects an interdisciplinary approach linking quantitative methods with nursing and public health questions. Her publications address mental health, psychosocial symptoms, social support, digital health platforms, and analytical methods including network analysis and machine learning. This body of work places computational approaches within clinically relevant health research contexts. [2]
Research Profile
Shuyu Han is affiliated with Peking University and has contributed to research spanning nursing science, public health, digital health, and quantitative analysis. Her publication record includes studies using longitudinal designs, latent profile analysis, network analysis, systematic review methodology, and technology based interventions, demonstrating methodological breadth across applied health research studies. [1] [3]
Research Contributions
Shuyu Han has contributed to studies examining psychological symptom networks, interpersonal personality prediction, social support, stigma, and mobile health interventions. Her publications illustrate how statistical learning and computational approaches can organize multidimensional health information, identify relationships among symptoms, and support research questions concerning personalized assessment and digitally enabled care pathways. [2] [4]
Publications
Shuyu Han’s publications include research on dynamic mental health symptom networks, prediction of interpersonal personality using machine learning, psychological profiles, social support, dementia care recommender systems, and mobile health applications. These studies connect computational and behavioral methods with nursing research, providing publication based evidence for examining complex psychosocial and digital health questions. [2] [4] [5]
Research Impact
Shuyu Han’s research impact can be described through the themes and methods represented in her publications. Her work has appeared in journals including Journal of Advanced Nursing, Journal of Psychiatric Research, Journal of Medical Internet Research, and BMJ Open, while several studies provide DOI records for scholarly discovery and tracking. [2] [3] [5]
Award Suitability
Shuyu Han’s publication record provides documented evidence of interdisciplinary research relevant to an Innovative Research Award focused on methodological development and applied health research. Particularly relevant themes include machine learning prediction, dynamic network analysis, digital health, and data informed nursing research. Award consideration should follow independently verified criteria and current records. [1] [2]
Conclusion
Shuyu Han’s scholarly record presents an interdisciplinary research program connecting computational analysis, nursing science, mental health, HIV related health research, and digital interventions. Her publications demonstrate recurring attention to complex symptom relationships, prediction, social support, and technology enabled care, while bibliographic identifiers provide routes for independent verification of selected works. [1] [2]
External Links
Shuyu Han’s principal scholarly identifiers and relevant award information can be accessed through the following external resources.
References
- ORCID. Shuyu Han, ORCID iD 0000-0002-2506-6888. ORCID.
https://orcid.org/0000-0002-2506-6888
- Han, S., Wang, X., Xie, X., Zhang, L., & Wang, Z. (2025). Dynamic Network Analysis of Mental Health Symptoms Among Persons Living With HIV. Journal of Advanced Nursing, 81(12), 8633–8646.
https://doi.org/10.1111/jan.16830
- Han, S., Ji, M., Leng, M., Zhou, J., & Wang, Z. (2022). Psychometric properties of self-reported measures of active ageing: a systematic review protocol using COSMIN methodology. BMJ Open, 12(3), e059360.
https://doi.org/10.1136/bmjopen-2021-059360
- Han, S., Yang, X., Jia, C., Wang, X., Chen, Y., Xie, X., Hu, Y., Zhang, Y., Yang, Z., Zhang, L., et al. (2024). Prediction of interpersonal personality for people living with HIV using machine learning. Interdisciplinary Nursing Research.
https://doi.org/10.1097/NR9.0000000000000076
- Leng, M., Sun, Y., Li, C., Han, S., & Wang, Z. (2023). Usability Evaluation of a Knowledge Graph–Based Dementia Care Intelligent Recommender System: Mixed Methods Study. Journal of Medical Internet Research.
https://doi.org/10.2196/45788