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.
Design
Other
Authors
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May aid preliminary risk stratification; hypothesis-generating and requires prospective validation before any clinical use.
Proposes a neural network-based machine learning application to predict heart disease vulnerability using basic clinical parameters.
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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