Using an artificial neural networks (ANNS) model for prediction of intensive care unit (ICU) outcome and length of stay at hospital in traumatic patients

Journal of Clinical and Diagnostic Research

Volumn 9, Issue 4, 2015, Pages 19-23

  Gholipour, Changiz ^a   Rahim, Fakher ^b   Fakhree, Abolghasem ^a   Ziapour, Behrad ^b  

^a TABRIZ UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b AHVAZ JUNDISHAPUR UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Diagnostic value; Information technology; Trauma

Indexed keywords

CREATININE; GLUCOSE; HEMOGLOBIN; POTASSIUM; UREA;

ADOLESCENT; ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; CHILD; COMPUTER PROGRAM; FEMALE; HUMAN; INJURY; INJURY SCALE; INTENSIVE CARE UNIT; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; PREDICTION; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE; TRAUMA AND INJURY SEVERITY SCORE; TREATMENT OUTCOME;

EID: 84926362968     PISSN: 2249782X     EISSN: 0973709X     Source Type: Journal    
DOI: 10.7860/JCDR/2015/9467.5828     Document Type: Article

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