Predicting polypharmacy in half a million adults in the Iranian population: comparison of machine learning algorithms.

It was found that ML provides a reasonable level of accuracy in predicting polypharmacy. Therefore, the prediction models based on ML, especially the RF algorithm, performed better than other methods for predicting PP in Iranian people in terms of the performance criteria.