ML algorithm predicts heart attacks with 90% accuracy
A machine learning algorithm claims to predict heart attacks and death from heart disease with a degree of accuracy beating human practitioners.
The algorithm claims to have a 90 percent accuracy. LogitBoost was trained on data from 950 chest pain patients – from the data, 85 variables are calculated.
Each of the patients have known outcomes after six years. Combined, this algorithm was able to identify patterns which indicates a higher chance of a heart attack...
