Importance of medical data preprocessing in predictive modeling and risk factor discovery for the frailty syndrome

被引：0
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作者：
Andreas Philipp Hassler
Ernestina Menasalvas
Francisco José García-García
Leocadio Rodríguez-Mañas
Andreas Holzinger
机构：
[1] Holzinger Group,
[2] HCI-KDD,undefined
[3] Institute for Medical Informatics/Statistics,undefined
[4] Medical University Graz,undefined
[5] Institute of Interactive Systems and Data Science,undefined
[6] Graz University of Technology,undefined
[7] Center for Biomedical Technology,undefined
[8] Universidad Politecnica de Madrid,undefined
[9] Division of Geriatric Medicine,undefined
[10] Virgen del Valle Geriatric Hospital,undefined
[11] Division of Geriatric Medicine,undefined
[12] University Hospital of Getafe,undefined
来源：
BMC Medical Informatics and Decision Making | / 19卷
关键词：
Health data analytics; Data mining; Machine learning; Predictive modeling; Risk factor discovery; Data preprocessing; Missing value imputation; Frailty syndrome;
D O I：
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