Title: PrOCTOR: A Data-Driven Model for Predicting Drug Toxicity and Its Ethical Implications in Clinical Trials
This repository contains a pdf and RMD file for the midterm paper for the course STOR 390: Moral Machine Learning.
This paper will analyze the methodologies and results presented in “A Data-Driven Approach to Predicting Successes and Failures of Clinical Trials,” where the authors develop a data-driven model to predict the likelihood of drug toxicity in clinical trials, alongside the ethical implications this raises.
Link to Final Project Repository: https://github.com/Licza/390_Final