Emergency department triaging of admitted stroke patients - A Bayesian Network analysis

Health Informatics Journal

Volumn 17, Issue 4, 2011, Pages 294-312

  Nadathur, Shyamala G ^a   Warren, James R ^b  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

administrative data; Bayesian Networks; emergency service; stroke; triage

Indexed keywords

ADOLESCENT; ADULT; AGED; ARTICLE; AUSTRALIA; BAYES THEOREM; CHILD; COHORT ANALYSIS; EMERGENCY HEALTH SERVICE; FEMALE; HOSPITAL ADMISSION; HUMAN; INFANT; LENGTH OF STAY; MALE; METHODOLOGY; MIDDLE AGED; NEWBORN; PATIENT REFERRAL; PRESCHOOL CHILD; STATISTICS; STROKE; TEACHING HOSPITAL; TIME; UTILIZATION REVIEW;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AUSTRALIA; BAYES THEOREM; CHILD; CHILD, PRESCHOOL; COHORT STUDIES; EMERGENCY MEDICAL SERVICES; FEMALE; HOSPITALS, TEACHING; HUMANS; INFANT; INFANT, NEWBORN; LENGTH OF STAY; MALE; MIDDLE AGED; PATIENT ADMISSION; REFERRAL AND CONSULTATION; STROKE; TIME FACTORS; TRIAGE; YOUNG ADULT;

EID: 84555187603     PISSN: 14604582     EISSN: 17412811     Source Type: Journal    
DOI: 10.1177/1460458211424475     Document Type: Article

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