big data diabetes - Big Data is beginning to have cultural approach in diabetes an impact on diabetes care through data research The use of Big Data for routine clinical care is still a future application Vast amounts of healthcare data are already being produced and the key is harnessing these to produce actionable insights Artificial Intelligence and Big Data in Diabetes Care A Position Big Data and diabetes the applications of Big Data for diabetes care Background Type 2 Diabetes T2D diagnosis is based solely on glycaemia even though it is an endpoint of numerous dysmetabolic pathways Type 2 Diabetes complexity is challenging in a realworld scenario thus dissecting T2D heterogeneity is a priority Cluster analysis which identifies natural clusters within multidimensional data based on similarity measures poses a promising tool to Big Data and diabetes the applications of Big Data for PubMed Big Data Are Changing Diabetes Management in Big Ways We review current applications of Big Data in diabetes care and consider the future potential by carrying out a scoping study of the academic literature on Big Data and diabetes care Healthcare data are being produced at everincreasing rates and this information has the potential to transform the provision of diabetes care Big Data is Diabetes Analysis is an attractive area for big data Analytics research for various reasons including its signi cant impact on health and the demand for diabetes prediction Big data and machine learning to tackle diabetes management Artificial Intelligence and Big Data in Diabetes Care A Position The socalled big data revolution provides substantial opportunities to diabetes management At least 3 important directions are currently of great interest First the integration of different sources of information from primary and secondary care to administrative information may allow depicting a novel view of patients care processes Thats big data in a nutshell an enormous amount what happens if diabetes goes untreated of information gathered from many sources compiled in a computing system and run through advanced analytics and algorithms to reveal underlying trends and patterns Using big data in healthcare could change the future of diabetes and other health conditions Big Data and Precision Medicine Viewpoints and Perspectives 513 Clinical Information and Decision Making 1401 EHealth Policy and Health Systems Innovation 227 Policy Paper 16 Big Data 238 Decision Support for Health Professionals 1181 Artificial Intelligence in Diabetes Care and Prevention 29 Diabetes Health Services and System Innovations 117 Big Data Technologies PMC National Center for Biotechnology Information The digital diabetes is coming and AI and big data are opening a window on new scenarios Todays diabetologists must acquire new skills to be able to lead these changes be proactive in exploiting their potential and advantages and limit their risks and guard the essential elements of the professions of doctors and health care Big Data Technologies New Opportunities for Diabetes Management We review current applications of Big Data in diabetes care and consider the future potential by carrying out a scoping study of the academic literature on Big Data and diabetes care Healthcare data are being produced at everincreasing rates and this information has the potential to transform the provision of diabetes care Big Data and diabetes the applications of Big Data for diabetes care Big Data and diabetes the applications of Big Data for diabetes care The interest in big data management from researchers and funding bodies such as NIH EU and others is related to 3 joint facts 1 health care is collecting large amounts of data from EHRs home monitoring and biomedical research including omics 2 thanks to the advances in technologies and methods for data management and to the new analytics also coming from obat kaki bengkak diabetes the private sector we
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