Researchers from the National Institute of Health Data Science at Peking University and the Department of Clinical Epidemiology and Biostatistics at Peking University People's Hospital have conducted ...
Missing data imputation is a critical process in data analysis, enabling researchers to infer plausible values for absent observations. Over recent decades, a variety of methods have emerged, ranging ...
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 ...
Objective To develop and validate a 10-year predictive model for cardiovascular and metabolic disease (CVMD) risk using ...
A research group has developed an innovative machine learning technology that enables predictions beyond the distribution of training data and demonstrated its effectiveness in materials research. The ...
Researchers combine AI and mobile health to predict recovery from lumbar spine surgery. Researchers who had been using Fitbit data to help predict surgical outcomes have a new method to more ...
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