Classification based on event in survival machine learning analysis of cardiovascular disease cohort

Autor: Shokh Mukhtar Ahmad, Nawzad Muhammed Ahmed
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: BMC Cardiovascular Disorders, Vol 23, Iss 1, Pp 1-7 (2023)
Druh dokumentu: article
ISSN: 1471-2261
DOI: 10.1186/s12872-023-03328-2
Popis: Abstract The aim of this study is to assess the effectiveness of supervised learning classification models in predicting patient outcomes in a survival analysis problem involving cardiovascular patients with a significant cured fraction. The sample comprised 919 patients (365 females and 554 males) who were referred to Sulaymaniyah Cardiac Hospital and followed up for a maximum of 650 days between 2021 and 2023. During the research period, 162 patients (17.6%) died, and the cure fraction in this cohort was confirmed using the Mahler and Zhu test (P
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