Xiuyi Wei

Applications and limitations of machine learning in clinical biostatistics: a narrative review

This narrative review summarizes applications of supervised learning, unsupervised learning, and deep learning in clinical diagnosis, prognosis prediction, patient stratification, and biomarker discovery and finds that machine learning is useful when the clinical question is clear, data quality is acceptable, and validation is strict.