Predictive data mining in clinical medicine: a focus on selected methods and applications

• DOI: 10.1002/widm.23
• Publication Date: 2011-08-12T14:01:06Z
• Authors: Riccardo Bellazzi; Fulvia Ferrazzi; Lucia Sacchi
• Keywords: Personalized Medicine; Predictive modelling

Abstract Predictive data mining in clinical medicine deals with learning models to predict patients' health. The can be devoted support clinicians diagnostic, therapeutic, or monitoring tasks. Data methods are usually applied contexts analyze retrospective data, thus giving healthcare professionals the opportunity exploit large amounts of routinely collected during their day‐by‐day activity. Moreover, nowadays take advantage techniques deal huge amount research results obtained by molecular medicine, such as genetic genomic signatures, which may allow transition from population‐based personalized medicine. current challenge is build able into account dynamic and temporal nature care variety information available at bedside. This review describes main features predictive focus on two specific aspects particular interest: efforts performed translate clinically useful models. © 2011 John Wiley & Sons, Inc. WIREs Mining Knowl Discov 1 416–430 DOI: 10.1002/widm.23 article categorized under: Application Areas > Health Care Fundamental Concepts Knowledge Key Design Issues Technologies Prediction