Heart failure survival prediction using novel transfer learning based probabilistic features

Qadri, Azam MehmoodKhwaja Fareed Univ Engn & Informat Technol, Inst Comp Sci, Rahim Yar Khan, Pakistan. (author)

Heart failure is a complex cardiovascular condition characterized by the heart's inability to pump blood effectively, leading to a cascade of physiological changes. Predicting survival in heart failure patients is crucial for optimizing patient care and resource allocation. This research aims to develop a robust survival prediction model for heart failure patients using advanced machine learning techniques. We analyzed data from 299 hospitalized heart failure patients, addressing the issue of imbalanced data with the Synthetic Minority Oversampling (SMOTE) method. Additionally, we proposed a novel transfer learning-based feature engineering approach that generates a new probabilistic feature set from patient data using ensemble trees. Nine fine-tuned machine learning models are built and compared to evaluate performance in patient survival prediction. Our novel transfer learning mechanism applied to the random forest model outperformed other models and state-of-the-art studies, achieving a remarkable accuracy of 0.975. All models underwent evaluation using 10-fold crossvalidation and tuning through hyperparameter optimization. The findings of this study have the potential to advance the field of cardiovascular medicine by providing more accurate and personalized prognostic assessments for individuals with heart failure.

Hashmi, Muhammad Shadab AlamKhwaja Fareed Univ Engn & Informat Technol, Inst Comp Sci, Rahim Yar Khan, Pakistan. (author)
Raza, AliKhwaja Fareed Univ Engn & Informat Technol, Inst Comp Sci, Rahim Yar Khan, Pakistan. (author)
Zaidi, Syed Ali JafarKhwaja Fareed Univ Engn & Informat Technol, Inst Informat Technol, Rahim Yar Khan, Pakistan. (author)
Rehman, Atiq UrMälardalens universitet,Inbyggda system(Swepub:mdh)aun04 (author)
Khwaja Fareed Univ Engn & Informat Technol, Inst Comp Sci, Rahim Yar Khan, Pakistan.Khwaja Fareed Univ Engn & Informat Technol, Inst Informat Technol, Rahim Yar Khan, Pakistan. (creator_code:org_t)

By the author/editor: Qadri, Azam Mehm ...; Hashmi, Muhammad ...; Raza, Ali; Zaidi, Syed Ali ...; Rehman, Atiq Ur

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