Extracting diagnoses and investigation results from unstructured text in electronic health records by semi-supervised machine learning.

<h4>Background</h4>Electronic health records are invaluable for medical research, but much of the information is recorded as unstructured free text which is time-consuming to review manually.<h4>Aim</h4>To develop an algorithm to identify relevant free texts automatically bas...

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Autores principales: Zhuoran Wang, Anoop D Shah, A Rosemary Tate, Spiros Denaxas, John Shawe-Taylor, Harry Hemingway
Formato: article
Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/d17e9e6b6da44b479e895c355a40dd42
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