Machine learning and artificial neural network for predicting heart failure risk

HIGHLIGHTS

  • who: Mohammad Monirujjaman Khan from the Department of Electrical and Computer Engineering, North South University, Bashundhara, Dhaka, Bangladesh have published the research: Machine Learning and Artificial Neural Network for Predicting Heart Failure Risk, in the Journal: (JOURNAL) of 01/Nov/2019
  • what: With n estimators=11, this model provides 95% accuracy. This proposed system in this paper implements eight algorithms with three variations, like supervised ML, boosting, and neural_network classifier compared to the other proposed methods.
  • how: Table 4 Confusion matrix TP FP FN TN 3.5 LR Model Accuracy For this study . . .

     

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