Artificial neural network medical decision support tool: Predicting transfusion requirements of ER patients

IEEE Transactions on Information Technology in Biomedicine

Volumn 9, Issue 3, 2005, Pages 468-474

  Walczak, Steven ^a  

^a UNIVERSITY OF COLORADO   (United States)

Author keywords

Backpropagation; Neural network; Transfusion; Trauma

Indexed keywords

BACKPROPAGATION; BLOOD; EMERGENCY ROOMS; MATHEMATICAL MODELS; PATIENT MONITORING; SENSITIVITY ANALYSIS; STATISTICAL METHODS;

BLOOD TRANSFUSION; TRAUMA PATIENTS;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BLOOD TRANSFUSION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED THERAPY; DECISION SUPPORT SYSTEM; EMERGENCY HEALTH SERVICE; HUMAN; INJURY; INTENSIVE CARE; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

BLOOD TRANSFUSION; CRITICAL CARE; DECISION SUPPORT SYSTEMS, MANAGEMENT; DIAGNOSIS, COMPUTER-ASSISTED; EMERGENCY SERVICE, HOSPITAL; HUMANS; NEURAL NETWORKS (COMPUTER); REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; THERAPY, COMPUTER-ASSISTED; WOUNDS AND INJURIES;

EID: 25844451930     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2005.847510     Document Type: Article

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