Clinical Trial Risk Tool

Open-source browser-based tool which uses natural language processing to identify and quantify the risk of uninformativeness. The tool reads and parses the text of the trial protocol and identifies key features of the trial design, which are fed into a risk model. The software application runs in the browser, is implemented in Python, and features a graphical user interface that allows a user to drag and drop the PDF of the trial protocol and visualize the risk indicators and their locations in the text. The user has the option of correcting any inaccuracies in the tool’s parsing of the text. The tool outputs a PDF report listing the key features extracted. The tool can be accessed via any web browser via the following link: https://app.clinicaltrialrisk.org/

The code is on Github at https://github.com/fastdatascience/clinical_trial_risk