Feature mining and predictive model construction from severe trauma patient's data

International Journal of Medical Informatics

Volumn 63, Issue 1-2, 2001, Pages 41-50

  Demšar, Janez ^a   Zupan, Blaž ^a   Aoki, Noriaki ^a   Wall, Matthew J ^a   Granchi, Thomas H ^a   Robert Beck, J ^a  

^a UNIVERSITY OF LJUBLJANA   (Slovenia)

Author keywords

Damage control; Data mining; Feature mining; Machine learning; Medical prognostic models; Severe traumatic injury

Indexed keywords

INTENSIVE CARE UNITS; MANAGEMENT INFORMATION SYSTEMS; PATIENT MONITORING; PH EFFECTS; SURGERY;

DAMAGE CONTROL;

MEDICAL COMPUTING;

ARTICLE; CONTROL SYSTEM; DATA ANALYSIS; DATA BASE; HUMAN; INJURY; INTENSIVE CARE; MAN MACHINE INTERACTION; MODEL; PH; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; SURGEON; SURGICAL PATIENT; TECHNIQUE; THROMBOPLASTIN TIME;

ALGORITHMS; BAYES THEOREM; DECISION SUPPORT TECHNIQUES; FEASIBILITY STUDIES; HUMANS; INFORMATION STORAGE AND RETRIEVAL; MODELS, THEORETICAL; OUTCOME ASSESSMENT (HEALTH CARE); PILOT PROJECTS; PROGNOSIS; STATISTICS; WOUNDS AND INJURIES;

EID: 0034885327     PISSN: 13865056     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1386-5056(01)00170-8     Document Type: Article

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