Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably

The objective of the study was to compare the performance of logistic regression and boosted trees for predicting patient mortality from large sets of diagnosis codes in electronic healthcare records. We analyzed national hospital records and official death records for patients with myocardial infar...

Ausführliche Beschreibung