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Coronary artery disease risk assessment from unstructured electronic health records using text mining

Coronary artery disease (CAD) often leads to myocardial infraction, which may be fatal. Risk factors can be used to predict CAD, which may subsequently lead to prevention or early intervention. Patient data such as co-morbidities, medication history, social history and family history are required to...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:J Biomed Inform
Main Authors: Jonnagaddala, Jitendra, Liaw, Siaw-Teng, Ray, Pradeep, Kumar, Manish, Chang, Nai-Wen, Dai, Hong-Jie
פורמט: Artigo
שפה:Inglês
יצא לאור: 2015
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC4985289/
https://ncbi.nlm.nih.gov/pubmed/26319542
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.08.003
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