Key result
A proposed application utilizing neural networks aims to predict heart disease vulnerability based on basic clinical parameters such as age, sex, and pulse rate.
Proposes a neural network-based machine learning application to predict heart disease vulnerability using basic clinical parameters.
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May aid preliminary risk stratification; hypothesis-generating and requires prospective validation before any clinical use.
Gavhane et al. (2018) studied Heart disease. Machine learning application (neural networks) was evaluated on Prediction of heart disease vulnerability. A proposed application utilizing neural networks aims to predict heart disease vulnerability based on basic clinical parameters such as age, sex, and pulse rate.
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