Feature extraction for phenotyping from semantic and knowledge resources
نویسندگان
چکیده
منابع مشابه
Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources
OBJECTIVE Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, requiring extensive and iterative involvement by domain experts. This paper introduces a method to develop phenotyping algorithms in an unbiased manner...
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ژورنال
عنوان ژورنال: Journal of Biomedical Informatics
سال: 2019
ISSN: 1532-0464
DOI: 10.1016/j.jbi.2019.103122