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Automated Verification of Phenotypes using PubMed
2016
Proceedings of the 7th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics - BCB '16
In the realm of data driven clinical research, medical concepts, or phenotypes, are used to serve as indicators for patient clusters of interest. Often, studies will use groups of algorithmically generated phenotypes (feature groups) to predict the occurrence of heart disease, diabetes, and other conditions. When these groups are algorithmically generated, the most common method of verification is manual human annotation, which can be time consuming and sometimes inconsistent. In this paper, we
doi:10.1145/2975167.2985844
dblp:conf/bcb/BridgesHHWG16
fatcat:err3ixhcszbhhfsz5oad4cnrhy