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Big data for personalized diabetes prevention.
Diabetologe 14, 486-492 (2018)
Since 1980, the number of people with diabetes has quadrupled worldwide. In Germany alone, almost 7million people suffer from this metabolic disease and every year, there are up to 500,000 new diagnoses. These numbers show the urgent need for new effective prevention measures and innovative forms of treatment. Digitalization makes it possible to explore the widespread disease of diabetes in anew dimension in order to identify subtypes of diabetes very early on and offer suitable personalized preventive measures. With the establishment of aDigital Diabetes Prevention Center, health and research data from awide variety of sources could be brought together, analysed and evaluated using innovative information technology (IT) capabilities to identify different diabetes subtypes and offer specific prevention and therapy measures that can be used directly through close cooperation with the population.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Prediabetic State ; Subtypes ; Preventive Medicine ; Medical Informatics ; Artificial Intelligence
ISSN (print) / ISBN 1860-9716
e-ISSN 1860-9724
Zeitschrift Diabetologe, Der
Quellenangaben Band: 14, Heft: 7, Seiten: 486-492 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Tiergartenstrasse 17, D-69121 Heidelberg, Germany
Begutachtungsstatus peer-reviewed