Mining peripheral arterial disease cases from narrative clinical notes using natural language processing

Abstract Objective Lower extremity peripheral arterial disease (PAD) is highly prevalent and affects millions of individuals worldwide. We developed a natural language processing (NLP) system for automated ascertainment of PAD cases from clinical narrative notes and compared the performance of the N...

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Veröffentlicht in:	Journal of vascular surgery 2017-06, Vol.65 (6), p.1753-1761
Hauptverfasser:	Afzal, Naveed, PhD, Sohn, Sunghwan, PhD, Abram, Sara, MD, Scott, Christopher G., MS, Chaudhry, Rajeev, MBBS, MPH, Liu, Hongfang, PhD, Kullo, Iftikhar J., MD, Arruda-Olson, Adelaide M., MD, PhD
Format:	Artikel
Sprache:	eng
Schlagworte:	Administrative Claims, Healthcare Algorithms Ankle Brachial Index Data Mining - methods Databases, Factual Electronic Health Records Humans International Classification of Diseases Lower Extremity - blood supply Minnesota Models, Statistical Natural Language Processing Peripheral Arterial Disease - classification Peripheral Arterial Disease - diagnosis Retrospective Studies Surgery
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