AutoScore-Imbalance: An interpretable machine learning tool for development of clinical scores with rare events data

Han Yuan(Duke-NUS Medical School), Nan Liu(Southwest Medical University), Bibhas Chakraborty(National University of Singapore), Yilin Ning(Duke-NUS Medical School), Marcel Lucas Chee(Monash University), Feng Xie(Duke-NUS Medical School), Seyed Ehsan Saffari(Duke-NUS Medical School), Marcus Eng Hock Ong(Singapore General Hospital), Benjamin A. Goldstein(Duke University), Hairil Rizal Abdullah(Singapore General Hospital)
Journal of Biomedical Informatics
April 11, 2022
Cited by 19


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