DeepPhe: A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records
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منابع مشابه
DeepPhe - A Natural Language Processing System for Extracting Cancer Phenotypes from Clinical Records
Precise phenotype information is needed to understand the effects of genetic and epigenetic changes on tumor behavior and responsiveness. Extraction and representation of cancer phenotypes is currently mostly performed manually, making it difficult to correlate phenotypic data to genomic data. In addition, genomic data are being produced at an increasingly faster pace, exacerbating the problem....
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R.L. Richesson, J.E. Andrews (eds.), Clinical Research Informatics, Health Informatics, DOI 10.1007/978-1-84882-448-5_16, © Springer-Verlag London Limited 2012 Abstract Electronic health records (EHR) capture “real-world” disease and care processes and hence offer richer and more generalizable data for comparative effectiveness research than traditional randomized clinical trial studies. With t...
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UNLABELLED BACKGROUND One challenge in reusing clinical data stored in electronic medical records is that these data are heterogenous. Clinical Natural Language Processing (NLP) plays an important role in transforming information in clinical text to a standard representation that is comparable and interoperable. Information may be processed and shared when a type system specifies the allowab...
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ژورنال
عنوان ژورنال: Cancer Research
سال: 2017
ISSN: 0008-5472,1538-7445
DOI: 10.1158/0008-5472.can-17-0615