This book covers the medical condition of diabetic patients, their early
symptoms and methods conventionally used for diagnosing and monitoring
diabetes. It describes various techniques and technologies used for
diabetes detection. The content is built upon moving from regressive
technology (invasive) and adapting new-age pain-free technologies
(non-invasive), machine learning and artificial intelligence for
diabetes monitoring and management. This book details all the popular
technologies used in the health care and medical fields for diabetic
patients. An entire chapter is dedicated to how the future of this field
will be shaping up and the challenges remaining to be conquered.
Finally, it shows artificial intelligence and predictions, which can be
beneficial for the early detection, dose monitoring and surveillance for
patients suffering from diabetes