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 E-Mail Clinical research requires that data be mined for insights. Machine learning, which develops algorithms to find patterns, has difficulty doing this with data related to health records because this type of information is neither static nor regularly collected. A new study developed a transparent and reproducible machine learning tool to facilitate analysis of health information. The tool can be used in clinical forecasting, which can predict trends as well as outcomes in individual patients. The study, by a researcher at Carnegie Mellon University (CMU), appears in Proceedings of Mac...

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, re...