Predicting the risk of mortality and rehospitalization in heart failure patients: A retrospective cohort study by machine learning approach
Clinical Cardiology2024Vol. 47(2), pp. e24239–e24239
Citations Over TimeTop 10% of 2024 papers
Marzieh Ketabi, Aref Andishgar, Zhila Fereidouni, Maryam Mojarrad Sani, Ashkan Abdollahi, Mohebat Vali, Abdulhakim Alkamel, Reza Tabrizi
Abstract
The ML-based risk stratification tool was able to assess the risk of 5-year all-cause mortality and readmission in patients with HF. ML could provide an explicit explanation of individualized risk prediction and give physicians an intuitive understanding of the influence of critical features in the model.
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