Cohort selection for clinical trials using deep learning models

ConclusionsDespite the limited size of the dataset, deep learning methods show promising results in learning useful features for the task of cohort selection. Therefore, they can be used as a previous filter for cohort selection for any clinical trial with a minimum of human intervention, thus reducing the cost and time of clinical trials significantly.
Source: Journal of the American Medical Informatics Association - Category: Information Technology Source Type: research