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Artificial intelligence for predicting pulmonary embolism: A review of machine learning approaches and performance evaluation.
Puchades, Ramón; Tung-Chen, Yale; Salgueiro, Giorgina; Lorenzo, Alicia; Sancho, Teresa; Fernández Capitán, Carmen.
Affiliation
  • Puchades R; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain. Electronic address: rpuchades@gmail.com.
  • Tung-Chen Y; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain.
  • Salgueiro G; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain.
  • Lorenzo A; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain.
  • Sancho T; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain.
  • Fernández Capitán C; Internal Medicine Service, Thromboembolic Disease Unit, La Paz University Hospital, Madrid, Spain.
Thromb Res ; 234: 9-11, 2024 02.
Article in En | MEDLINE | ID: mdl-38113607
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Limits: Humans Language: En Journal: Thromb Res Year: 2024 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Machine Learning Limits: Humans Language: En Journal: Thromb Res Year: 2024 Document type: Article Publication country: EEUU / ESTADOS UNIDOS / ESTADOS UNIDOS DA AMERICA / EUA / UNITED STATES / UNITED STATES OF AMERICA / US / USA