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Transparent, Reproducible AI Tool for Health Information Analysis


Transparent, Reproducible AI Tool for Health Information Analysis
Written by AZoRoboticsFeb 26 2021
Clinical research necessitates the mining of data to gain crucial insights. Machine learning, which involves developing algorithms to identify patterns, finds it hard to do this in the case of data related to health records since information of this kind is neither static nor collected regularly.
Prof. Jeremy Weiss, an expert in machine learning and healthcare informatics. Image Credit: Carnegie Melon University Heinz College.
As part of a new study, researchers have developed a transparent, reproducible machine learning tool to allow the analysis of health information. The tool can be employed in clinical forecasting, which can estimate trends and outcomes in individual patients. ....

Jeremy Weiss , Carnegie Mellon University , Carnegie Melon University Heinz College , Amazon Web Services , Heinz College , Professor Of Health Informatics , Proceedings Of Machine Learning Research , Carnegie Melon University , Carnegie Melon University Heinz , Machine Learning , Learning Lite , Study Author , Assistant Professor , Health Informatics , Carnegie Melon , ஜெர்மி வெயிஸ் , கார்னகி மெலந் பல்கலைக்கழகம் , கார்னகி முலாம்பழம் பல்கலைக்கழகம் ஹெய்ன்ஸ் கல்லூரி , அமேசான் வலை சேவைகள் , ஹெய்ன்ஸ் கல்லூரி , ப்ரொஃபெஸர் ஆஃப் ஆரோக்கியம் தகவல் , கார்னகி முலாம்பழம் பல்கலைக்கழகம் , கார்னகி முலாம்பழம் பல்கலைக்கழகம் ஹெய்ன்ஸ் , இயந்திரம் கற்றல் , கற்றல் லைட் , படிப்பு நூலாசிரியர் ,