Identifying High-Risk Patients without Labeled Training Data: Anomaly Detection Methodologies to Predict Adverse Outcomes

AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

Volumn 2010, Issue , 2010, Pages 772-776

  Syed, Zeeshan ^a   Saeed, Mohammed ^a   Rubinfeld, Ilan ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HOSPITAL PATIENT; HUMAN; POSTOPERATIVE COMPLICATION; RISK; TOTAL QUALITY MANAGEMENT; UNITED STATES;

HUMANS; INPATIENTS; POSTOPERATIVE COMPLICATIONS; QUALITY IMPROVEMENT; RISK; UNITED STATES;

EID: 84983043998     PISSN: None     EISSN: 1942597X     Source Type: Journal    
DOI: None     Document Type: Article

References (0)