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Applying deep neural networks to unstructured text notes in electronic medical records for phenotyping youth depression

BACKGROUND: We report a study of machine learning applied to the phenotyping of psychiatric diagnosis for research recruitment in youth depression, conducted with 861 labelled electronic medical records (EMRs) documents. A model was built that could accurately identify individuals who were suitable...

詳細記述

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書誌詳細
出版年:Evid Based Ment Health
主要な著者: Geraci, Joseph, Wilansky, Pamela, de Luca, Vincenzo, Roy, Anvesh, Kennedy, James L, Strauss, John
フォーマット: Artigo
言語:Inglês
出版事項: BMJ Publishing Group Ltd, Royal College of Psychiatrists and British Psychological Society 2017
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5566092/
https://ncbi.nlm.nih.gov/pubmed/28739578
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/eb-2017-102688
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