Journal
PSYCHOLOGICAL MEDICINE
Volume 48, Issue 5, Pages 705-713Publisher
CAMBRIDGE UNIV PRESS
DOI: 10.1017/S0033291717002859
Keywords
Big data; electronic medical records; machine learning; personalized medicine; precision medicine; wearable devices
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Personalized medicine (PM) aims to establish a new approach in clinical decision-making, based upon a patient's individual profile in order to tailor treatment to each patient's characteristics. Although this has become a focus of the discussion also in the psychiatric field, with evidence of its high potential coming from several proof-of-concept studies, nearly no tools have been developed by now that are ready to be applied in clinical practice. In this paper, we discuss recent technological advances that can make a shift toward a clinical application of the PM paradigm. We focus specifically on those technologies that allow both the collection of massive as much as real-time data, i.e., electronic medical records and smart wearable devices, and to achieve relevant predictions using these data, i.e. the application of machine learning techniques.
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