Semi-supervised learning to improve generalizability of risk prediction models

Shengqiang Chi; Xinhang Li; Yu Tian; Jun Li; Xiangxing Kong; Kefeng Ding; Chunhua Weng; Jingsong Li

doi:10.1016/j.jbi.2019.103117

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Semi-supervised learning to improve generalizability of risk prediction models

Shengqiang Chi Xinhang Li Yu Tian Jun Li Xiangxing Kong Kefeng Ding Chunhua Weng Jingsong Li

Year: 2019 Journal: Journal of Biomedical Informatics Vol: 92 Pages: 103117-103117 Publisher: Elsevier BV

DOI: 10.1016/j.jbi.2019.103117

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Keywords:

Generalizability theory Logistic regression Interpretability Machine learning Artificial intelligence Medicine Supervised learning Calibration Regression Computer science Statistics Mathematics Artificial neural network

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Colorectal Cancer Screening and Detection

Health Sciences → Medicine → Oncology

AI in cancer detection

Physical Sciences → Computer Science → Artificial Intelligence

Machine Learning in Healthcare

Physical Sciences → Computer Science → Artificial Intelligence

Semi-supervised learning to improve generalizability of risk prediction models

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