Machine learning methodologies versus cardiovascular risk scores, in predicting disease risk

被引：0
|
作者：
Alexandros C. Dimopoulos
Mara Nikolaidou
Francisco Félix Caballero
Worrawat Engchuan
Albert Sanchez-Niubo
Holger Arndt
José Luis Ayuso-Mateos
Josep Maria Haro
Somnath Chatterji
Ekavi N. Georgousopoulou
Christos Pitsavos
Demosthenes B. Panagiotakos
机构：
[1] Harokopio University,Department of Nutrition and Dietetics, School of Health Science and Education
[2] Harokopio University,Department of Informatics & Telematics, School of Digital Technology
[3] Universidad Autónoma de Madrid,Department of Preventive Medicine and Public Health
[4] CIBER of Epidemiology and Public Health,Hospital Universitario de La Princesa
[5] Instituto de Investigación Sanitaria Princesa (IP),The Centre for Applied Genomics, Genetics and Genome Biology
[6] The Hospital for Sick Children,Health Metrics and Measurement
[7] Parc Sanitari Sant Joan de Déu,Faculty of Health
[8] SPRING TECHNO GMBH & Co. KG,School of Medicine
[9] World Health Organization,undefined
[10] University of Canberra,undefined
[11] University of Athens,undefined
[12] CIBER of Mental Health,undefined
来源：
BMC Medical Research Methodology | / 18卷
关键词：
Cardiovascular disease; Risk prediction; Machine learning; Model performance;
D O I：
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