Mortality Prediction from Hospital-Acquired Infections in Trauma Patients Using an Unbalanced Dataset.

CONCLUSIONS: Our findings demonstrate that cleaning an unbalanced dataset increases the accuracy of the classification model. Also, predicting mortality by a clustered under-sampling approach was more precise in comparison to random under-sampling and random over-sampling methods. PMID: 33190462 [PubMed]
Source: Healthcare Informatics Research - Category: Information Technology Tags: Healthc Inform Res Source Type: research