Improving Eligibility Classification on Clinical Trials Document using Bidirectional Long Short Term Memory Recurrent Neural Network

Cancer clinical trials intervention are generally too restrictive, and some patients are often excluded on the basis ofcomorbidity, past or concomitant treatments, or the fact that they are over a certain age. In this research we built aclassification model for clinical information using public clinical trial protocols labeled as eligible or not eligible. Textclassifications are trained using deep learning to determine the predictive outcome of...