The application of explainable artificial intelligence (XAI) in electronic health record research: A scoping review

Machine Learning (ML) and Deep Learning (DL) models show potential in surpassing traditional methods including generalised linear models for healthcare predictions, particularly with large, complex datasets. However, low interpretability hinders practical implementation. To address this, Explainable...

詳細記述

書誌詳細
出版年:Digital Health
主要な著者: Jessica Caterson, Alexandra Lewin, Elizabeth Williamson
フォーマット: 論文
言語:英語
出版事項: SAGE Publishing 2024-10-01
オンライン・アクセス:https://doi.org/10.1177/20552076241272657