Joint modeling strategy for using electronic medical records data to build machine learning models: an example of intracerebral hemorrhage.
Journal:
BMC medical informatics and decision making
PMID:
36284327
Abstract
BACKGROUND: Outliers and class imbalance in medical data could affect the accuracy of machine learning models. For physicians who want to apply predictive models, how to use the data at hand to build a model and what model to choose are very thorny problems. Therefore, it is necessary to consider outliers, imbalanced data, model selection, and parameter tuning when modeling.