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Title: Predicting Drugs Adverse Side-Effects Using a Recommender-System
Authors: Pinto,D
Rui Camacho
Vítor Santos Costa
Issue Date: 2015
Abstract: Adverse Drug Events (ADEs) are a major health problem, and developing accurate prediction methods may have a significant impact in public health. Ideally, we would like to have predictive methods, that could pinpoint possible ADRs during the drug development process. Unfortunately, most relevant information on possible ADRs is only available after the drug is commercially available. As a first step, we propose using prior information on existing interactions through recommendation systems algorithms. We have evaluated our proposal using data from the ADReCS database with promising results.
metadata.dc.type: conferenceObject
Appears in Collections:LIAAD - Articles in International Conferences

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