Clinical Trial Prediction via Natural Language Processing and Graph MiningPublic Deposited
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Clinical trials play a pivotal role in advancing medical research and healthcare practices. However, the process of identifying suitable candidates for clinical trials and predicting their outcomes remains a significant challenge. This project aims to leverage the power of natural language processing (NLP) and graph mining techniques to develop a novel framework for clinical trial prediction.
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