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Volumn 306, Issue 8, 2011, Pages 848-855

Automated identification of postoperative complications within an electronic medical record using natural language processing

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE KIDNEY FAILURE; ADULT; AGED; ARTICLE; AUTOANALYSIS; CONTROLLED STUDY; CROSS-SECTIONAL STUDY; DEEP VEIN THROMBOSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; ELECTRONIC MEDICAL RECORD; FEMALE; HEART INFARCTION; HOSPITAL DISCHARGE; HOSPITAL PATIENT; HUMAN; INTERMETHOD COMPARISON; LUNG EMBOLISM; MAJOR CLINICAL STUDY; MALE; MULTICENTER STUDY; NATURAL LANGUAGE PROCESSING; PATIENT CODING; PATIENT SAFETY; PNEUMONIA; POSTOPERATIVE COMPLICATION; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL; SENSITIVITY AND SPECIFICITY; SEPSIS; SURGICAL TECHNIQUE; AUTOMATION; DIAGNOSIS RELATED GROUP; HEALTH CARE QUALITY; HEALTH SURVEY; HOSPITALIZATION; INFORMATION RETRIEVAL; INTERNATIONAL CLASSIFICATION OF DISEASES; KIDNEY FAILURE; PUBLIC HOSPITAL; SAFETY; STATISTICS; SURGERY; UNITED STATES; VEIN THROMBOSIS;

EID: 80052063328     PISSN: 00987484     EISSN: 15383598     Source Type: Journal    
DOI: 10.1001/jama.2011.1204     Document Type: Article
Times cited : (387)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.