Informatics can identify systemic sclerosis (SSc) patients at risk for scleroderma renal crisis

Computers in Biology and Medicine

Volumn 53, Issue , 2014, Pages 203-205

  Redd, Doug ^a,b   Frech, Tracy M ^a,b   Murtaugh, Maureen A ^a,b   Rhiannon, Julia ^c   Zeng, Qing T ^a,b  

^a Salt Lake Veterans Affairs Healthcare System   (United States)

^b UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^c DENVER HEALTH AND HOSPITAL AUTHORITY   (United States)

Author keywords

Blood pressure; Hypertension; Informatics; Management; Natural language processing; Prednisone; Renal crisis; Scleroderma; Steroid; Systemic sclerosis

Indexed keywords

BLOOD PRESSURE; DIAGNOSIS; INFORMATION SCIENCE; MANAGEMENT; MEDICAL COMPUTING; SUPPORT VECTOR MACHINES;

HYPERTENSION; INFORMATICS; NATURAL LANGUAGE PROCESSING; PREDNISONE; RENAL CRISIS; SCLERODERMA; STEROID; SYSTEMIC SCLEROSIS;

NATURAL LANGUAGE PROCESSING SYSTEMS; BLOOD PRESSURE;

PREDNISONE; ANTIINFLAMMATORY AGENT;

ADRENAL CORTEX INSUFFICIENCY; ARTICLE; ELECTRONIC MEDICAL RECORD; HUMAN; HYPERTENSION; INFORMATION SCIENCE; LOCALIZED SCLERODERMA; MAJOR CLINICAL STUDY; NATURAL LANGUAGE PROCESSING; PRESCRIPTION; PRIORITY JOURNAL; SCLERODERMA RENAL CRISIS; SUPPORT VECTOR MACHINE; SYSTEMIC SCLEROSIS; COMPLICATION; DATA MINING; MEDICAL INFORMATICS; PATHOPHYSIOLOGY; RENAL INSUFFICIENCY; RISK FACTOR; SCLERODERMA, SYSTEMIC; ADULT; ICD-9; KIDNEY DISEASE; PATIENT IDENTIFICATION; PREDICTIVE VALUE;

ANTI-INFLAMMATORY AGENTS; DATA MINING; ELECTRONIC HEALTH RECORDS; HUMANS; HYPERTENSION; MEDICAL INFORMATICS APPLICATIONS; NATURAL LANGUAGE PROCESSING; PREDNISONE; RENAL INSUFFICIENCY; RISK FACTORS; SCLERODERMA, SYSTEMIC;

EID: 84906719270     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.07.022     Document Type: Article

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