Background: We present a method utilizing Healthcare Cost and Utilization Project (HCUP) dataset for predicting disease risk of individuals based on their medical diagnosis history. The presented methodology may be incorporated in a variety of applications such as risk management, tailored health communication and decision support systems in healthcare.
Khalilia et al., REF have presented a method to predict disease risk of individuals based on Healthcare Cost and Utilization Project (HCUP) dataset.
Predicting disease risks from highly imbalanced data using random forest
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Medicine Computer Science