An In-Hospital Mortality Risk Model for Elderly Patients Undergoing Cardiac Valvular Surgery Based on LASSO-Logistic Regression and Machine Learning.

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Title: An In-Hospital Mortality Risk Model for Elderly Patients Undergoing Cardiac Valvular Surgery Based on LASSO-Logistic Regression and Machine Learning.
Authors: Zhu K; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China., Lin H; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China., Yang X; Department of Anesthesiology, Beijing Cancer Hospital, Peking University, Beijing 100142, China., Gong J; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China., An K; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China., Zheng Z; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China., Hou J; Cardiac Surgery Centre, Fuwai Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China.
Source: Journal of cardiovascular development and disease [J Cardiovasc Dev Dis] 2023 Feb 17; Vol. 10 (2). Date of Electronic Publication: 2023 Feb 17.
Publication Type: Journal Article
Journal Info: Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101651414 Publication Model: Electronic Cited Medium: Internet ISSN: 2308-3425 (Electronic) Linking ISSN: 23083425 NLM ISO Abbreviation: J Cardiovasc Dev Dis Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:2308-3425
DOI:10.3390/jcdd10020087