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World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.924

ICV : 79.45

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Indexing

Abstract

DIABETES GOES DIGITAL WITH ARTIFICIAL INTELLIGENCE AND BIG DATA

Dr. Manish Rajak*, Suraj Madhavan and Sneha Raje

ABSTRACT

Artificial intelligence is renovating our lives globally besides medical field. Prospective of AI to improve outstretch of diabetes care by making it so successful. Numerous cases of diabetes are brought into notice by the Endocrinologist universally and provide us with a possible opportunity for the active availability of data. Controlling the acquired big data using electronic medical records, by the specialists can put the globe at the possible forefront of research in this field. Clinical use of AI can provide larger insights to our obstacles faced during the effective treatment of all sorts of diabetes. As there are various treatment options which are to be added subsequently and incrementally, handling type,[2] diabetes is much more complicated than type,[1] diabetes. Based on a lot of patient personal factors such as BMI, beta-cell function and insulin resistance in comparison with others the choice of medication and its dosage varies. There are magnificent reviews on compiling studies which have used AI approach in diabetes. AI is too good as the big data used to generate this intelligence. In type 1 diabetes the research and reviews are witnessing the evolution of Closed Loop Insulin Delivery System with inbuilt AI algorithms to determine both hypoglycemic and hyperglycemic excursions. However, review of literature suggest that these systems are still in infancy and yet to show an impact on long-term outcomes and standard quality of life. A pile of disease can be transfigured into an opportunity, if entire big data is harnessed in a usable form and AI is used to produce insights and solutions very peculiar to our population. The constructive steps are needed by the Central and State Governments and large associations, like, endocrine societies of various countries to initiate big data collections and research.

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