Urinary tract infections in children: building a causal model-based decision support tool for diagnosis with domain knowledge and prospective data

被引:0
作者
Jessica A. Ramsay
Steven Mascaro
Anita J. Campbell
David A. Foley
Ariel O. Mace
Paul Ingram
Meredith L. Borland
Christopher C. Blyth
Nicholas G. Larkins
Tim Robertson
Phoebe C. M. Williams
Thomas L. Snelling
Yue Wu
机构
[1] Telethon Kids Institute,Wesfarmers Centre of Vaccines and Infectious Diseases
[2] University of Western Australia,Faculty of Information Technology
[3] Bayesian Intelligence Pty Ltd,Department of Infectious Diseases
[4] Monash University,Department of Microbiology
[5] Perth Children’s Hospital,Department of General Paediatrics
[6] PathWest Laboratory Medicine,School of Pathology and Laboratory Medicine
[7] Perth Children’s Hospital,Emergency Department
[8] University of Western Australia,Divisions of Emergency Medicine and Paediatrics, School of Medicine
[9] Perth Children’s Hospital,Faculty of Health and Medical Sciences
[10] University of Western Australia,Department of Nephrology
[11] University of Western Australia,Child and Adolescent Health Service
[12] Perth Children’s Hospital,Sydney School of Public Health, Faculty of Medicine and Health
[13] Perth Children’s Hospital,School of Women’s and Children’s Health
[14] University of Sydney,School of Public Health
[15] Sydney Children’s Hospital Network,undefined
[16] The University of New South Wales,undefined
[17] Curtin University,undefined
[18] Menzies School of Health Research,undefined
[19] Charles Darwin University,undefined
来源
BMC Medical Research Methodology | / 22卷
关键词
DAG; Causal model; Bayesian network; Clinical decision support; Urinary tract infection;
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