Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light on the potential of such integrated models in clinical diagnosis and screening practices. The study, led by Professor Feng Sun from the Department of Epidemiology and Biostatistics, School of Public Health, Peking University, has been published in Health Data Science.
Integrating machine learning with statistical methods enhances disease risk prediction models
