Risk Stratification and Lifestyle Modification Personalisation: Machine Learning Approaches to Enhanced Preventive Healthcare Delivery

Authors

  • Jing Li Professor of Electrical Engineering, Tsinghua University

Keywords:

risk stratification, lifestyle modification personalisation, machine learning approaches to enhanced preventive healthcare delivery

Abstract

Growing trends in preventive and personalized healthcare initiatives used in recent times highlight the relevance and timeliness of these emerging fields. Databases and atlases, which promote personalized nutrition and proactivity against future diseases based on genetic makeup or lifestyles, are gaining momentum. This is important because numerous diseases require early detection and timely treatment.

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Published

31-12-2025

How to Cite

[1]
“Risk Stratification and Lifestyle Modification Personalisation: Machine Learning Approaches to Enhanced Preventive Healthcare Delivery”, J. Computational Intel. & Robotics, vol. 5, no. 2, pp. 9–19, Dec. 2025, Accessed: Jun. 04, 2026. [Online]. Available: https://thesciencebrigade.com/jcir/article/view/727