Natural Language Processing: Applications in Pediatric Research
作者： Guergana Savova , John Pestian , Brian Connolly , Timothy Miller , Yizhao Ni
DOI: 10.1007/978-981-10-1104-7_12
关键词: Sentiment analysis 、 Natural language processing 、 Protected health information 、 Document classification 、 Field (computer science) 、 Artificial intelligence 、 Identification (information) 、 Computer science 、 Information extraction 、 De-identification 、 Use case
摘要: We discuss specific biomedical Natural Language Processing-based applications that cover a wide spectrum of use cases within the field translational and health services research. In our uses we focus on four categories applications: (1) Information Extraction (IE), (2) Document Classification, (3) Patient (4) Sentiment Analysis. show how extracted information could be used for (a) Phenotype identification, (b) Comparative effectiveness studies, (c) Cohort (d) Meaningful Use, (e) Linking patients’ phenotype genotype. addition, Processing components de-identification large collections patient notes. review literature examples pediatric natural language processing transferability select adult clinical to population.
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