Towards artificial intelligence-based disease prediction algorithms that comprehensively leverage and continuously learn from real-world clinical tabular data systems.

This manuscript presents a proof-of-concept for a generalizable strategy, the full algorithm, designed to estimate disease risk using real-world clinical tabular data systems, such as electronic health records (EHR) or claims databases. By integrating classic statistical methods and modern artificia...

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Bibliographic Details

Published in:	PLOS Digital Health
Main Authors:	Terrence J Lee-St John, Oshin Kanwar, Emna Abidi, Wasim El Nekidy, Bartlomiej Piechowski-Jozwiak
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-09-01
Online Access:	https://doi.org/10.1371/journal.pdig.0000589