Federated Learning for Predicting Major Postoperative Complications

Objective:. To develop a robust model to accurately predict the risk of postoperative complications using clinical data from multiple institutions while ensuring data privacy. Background:. Building accurate, artificial intelligence models to predict postoperative complications relies on accessibilit...

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Publicado no:Annals of Surgery Open
Main Authors: Yuanfang Ren, PhD, Yonggi Park, PhD, Benjamin Shickel, PhD, Ziyuan Guan, MS, Ayush Patel, Yingbo Ma, PhD, Zhenhong Hu, PhD, Jeremy A. Balch, MD, Tyler J. Loftus, MD, PhD, Parisa Rashidi, PhD, Tezcan Ozrazgat-Baslanti, PhD, Azra Bihorac, MD, MS
Formato: Artigo
Publicado em: Wolters Kluwer Health 2025-06-01
Acesso em linha:http://journals.lww.com/10.1097/AS9.0000000000000573
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http://journals.lww.com/10.1097/AS9.0000000000000573

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