Transforming acute exacerbations of chronic obstructive pulmonary disease (AECOPD) risk assessment: A multi‐algorithm machine learning approach for precise clinical phenotyping
Abstract Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) significantly impact patient outcomes and quality of life. Accurately predicting AECOPD occurrence remains essential for optimizing disease management, yet existing predictive models have notable limitations. A retrospect...
保存先:
| 主要な著者: | , , , , , |
|---|---|
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Wiley
2026-02-01
|
| シリーズ: | View |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1002/VIW.20250136 |
| タグ: |
タグなし, このレコードへの初めてのタグを付けませんか!
|