Zhejiang Ocean University | China
Author Profile
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EARLY ACADEMIC PURSUITS
Dr. Linfu Jiang's academic journey began with a strong foundation in data science and engineering, which led him to specialize in the field of predictive modeling of medical data. His early academic years were marked by an interdisciplinary approach that combined elements of healthcare, statistics, and artificial intelligence. His education fostered a deep interest in the practical implications of machine learning and statistical methods for improving patient care, laying the groundwork for his future endeavors in intelligent health systems and clinical decision support.
PROFESSIONAL ENDEAVORS
Dr. Jiang is currently serving as a faculty member at the School of Information Engineering, Zhejiang Ocean University, where he engages in teaching and advanced research. Since joining in August 2023, he has taken a proactive role in integrating health informatics and data analytics into academic curricula while mentoring students in real-world problem-solving through data. Beyond academia, Dr. Jiang has been involved in industry collaborations, offering consultancy services in the development of predictive health platforms, community-based disease screening systems, and smart medical technologies.
CONTRIBUTIONS AND RESEARCH FOCUS ON NETWORK ANALYSIS
Dr. Jiang’s research is distinguished by his contributions to data-driven clinical prediction models that integrate both medical and social health factors. He focuses particularly on chronic disease management, intelligent health systems, and the application of machine learning for early disease detection. Notably, he co-authored and served as the first corresponding author on a groundbreaking SCI-indexed paper examining social relationships and their role in motoric cognitive risk syndrome, which utilized network analysis within a multilayer health ecology model. Another significant contribution is his work on the PCHD-TabNet, a novel deep learning model for ten-year prediction of coronary heart disease, which underscores his expertise in integrating health data with AI-driven insights.
IMPACT AND INFLUENCE
Dr. Jiang's work holds significant practical value for public health, especially in the context of community-level healthcare interventions. His research has led to the development of personalized screening tools, predictive algorithms, and smart health management platforms that are being translated into real-world healthcare applications. His emphasis on model interpretability and clinical relevance makes his work not only academically significant but also impactful in policy and practice. His collaborations with clinicians, data scientists, and public health professionals have enabled the seamless application of theory into meaningful healthcare solutions.
ACADEMIC CITES
Dr. Jiang’s scholarly influence is evident through his publications in high-impact journals. He has authored:
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“Central and Bridging Roles of Social Relationships Within the Multilayer Health Ecology Model in Motoric Cognitive Risk Syndrome” published in Journal of the American Medical Directors Association (2025), with DOI: [10.1016/j.jamda.2025.105771], a JCR Q1 paper.
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“Ten-Year Prediction of Coronary Heart Disease Based on PCHD-TabNet”, published in Data Analysis and Knowledge Discovery (2023), which showcases the integration of AI with health data analytics.
These contributions reflect the academic community’s growing recognition of his work, especially in healthcare AI and social determinants of health.
LEGACY AND FUTURE CONTRIBUTIONS
Looking ahead, Dr. Jiang is poised to make even greater contributions to precision medicine and digital health transformation. With three patents currently under process on predictive algorithms for chronic disease management, he continues to push the boundaries of innovation. His vision includes expanding research into social determinants of health, refining models for real-time disease prediction, and enhancing community health infrastructures using AI and network-based health ecology models. His commitment to multidisciplinary collaboration ensures that his future work will remain relevant, scalable, and deeply rooted in patient-centric outcomes.
OTHER HIGHLIGHTS
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Industry Engagement: Active involvement in predictive health modeling for smart systems and community care.
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Collaborative Research: Interdisciplinary work with public health experts, clinicians, and data scientists.
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Teaching and Mentorship: Nurturing future researchers in intelligent health systems at Zhejiang Ocean University.
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Professional Development: Actively seeking memberships in reputed medical informatics societies to extend professional influence and networks.
NOTABLE PUBLICATIONS
"Central and Bridging Roles of Social Relationships Within the Multilayer Health Ecology Model in Motoric Cognitive Risk Syndrome: A Network Analysis"
- Author: Liming Su; Linfu Jiang; Yiting Ma; Zhonghua Wang; Xiaoying Wang; Yang Lin
- Journal: Journal of the American Medical Directors Association
- Year: 2025
"Ten-Year Prediction of Coronary Heart Disease Based on PCHD-TabNet"
- Author: Linfu Jiang
- Journal: Data Analysis and Knowledge Discovery
- Year: 2023