Add to ORKGWe 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 ever‐increasing rates, and this information has the potential to transform the provision of diabetes care. Big Data is beginning to have 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. Considerable development work is required to achieve these goals
Linnaeus University, 35195 Vaxjo, Sweden Lund University, LTH, 223 62 Lund, Swede
Every next phase of industrial innovation will be greatly aided by the use of big data, which will a...
Nowadays, we are generating a high volume of data in all domains such as social media, industries, s...
We review current applications of Big Data in diabetes care and consider the future potential by car...
Aims: Review the current applications of Big Data in diabetes care and consider the future potential...
The so-called big data revolution provides substantial opportunities to diabetes management. At leas...
Type 2 diabetes is a chronic condition associated with long term complications and premature death. ...
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -...
Large volumes of biomedical data are being produced every day. Leveraging such voluminous amount of ...
Technological progress in the past half century has greatly increased our ability to collect, store,...
The complexity will significantly increase as the healthcare industry moves toward processing massiv...
Abstract Big Data, and in particular Electronic Health Records, provide the medical community with a...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
Digitalisation and the use of technology are pushing the spread of new business models and improving...
Linnaeus University, 35195 Vaxjo, Sweden Lund University, LTH, 223 62 Lund, Swede
Every next phase of industrial innovation will be greatly aided by the use of big data, which will a...
Nowadays, we are generating a high volume of data in all domains such as social media, industries, s...
We review current applications of Big Data in diabetes care and consider the future potential by car...
Aims: Review the current applications of Big Data in diabetes care and consider the future potential...
The so-called big data revolution provides substantial opportunities to diabetes management. At leas...
Type 2 diabetes is a chronic condition associated with long term complications and premature death. ...
2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -...
Large volumes of biomedical data are being produced every day. Leveraging such voluminous amount of ...
Technological progress in the past half century has greatly increased our ability to collect, store,...
The complexity will significantly increase as the healthcare industry moves toward processing massiv...
Abstract Big Data, and in particular Electronic Health Records, provide the medical community with a...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
The healthcare industry generates a high throughput of medical, clinical and omics data of varying c...
Digitalisation and the use of technology are pushing the spread of new business models and improving...
Linnaeus University, 35195 Vaxjo, Sweden Lund University, LTH, 223 62 Lund, Swede
Every next phase of industrial innovation will be greatly aided by the use of big data, which will a...
Nowadays, we are generating a high volume of data in all domains such as social media, industries, s...