A machine learning model for diagnosing acute pulmonary embolism and comparison with Wells score, revised Geneva score, and Years algorithm

A machine learning model for diagnosing acute pulmonary embolism and comparison with Wells score, revised Geneva score, and Years algorithm

Abstract. Background:. Acute pulmonary embolism (APE) is a fatal cardiovascular disease, yet missed diagnosis and misdiagnosis often occur due to non-specific symptoms and signs. A simple, objective technique will help clinicians make a quick and precise diagnosis. In population studies, machine le...

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Dades bibliogràfiques
Autors principals: Linfeng Xi, Han Kang, Mei Deng, Wenqing Xu, Feiya Xu, Qian Gao, Wanmu Xie, Rongguo Zhang, Min Liu, Zhenguo Zhai, Chen Wang, Xiangxiang Pan, Peifang Wei
Format: Article
Idioma:English
Publicat: Wolters Kluwer 2024-03-01
Col·lecció:Chinese Medical Journal
Accés en línia:http://journals.lww.com/10.1097/CM9.0000000000002837

Internet

http://journals.lww.com/10.1097/CM9.0000000000002837

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