001448223 000__ 04209cam\a2200541\i\4500 001448223 001__ 1448223 001448223 003__ OCoLC 001448223 005__ 20230310004227.0 001448223 006__ m\\\\\o\\d\\\\\\\\ 001448223 007__ cr\cn\nnnunnun 001448223 008__ 220719s2022\\\\sz\a\\\\o\\\\\000\0\eng\d 001448223 019__ $$a1334527793$$a1334890351 001448223 020__ $$a9783030997281$$q(electronic bk.) 001448223 020__ $$a3030997286$$q(electronic bk.) 001448223 020__ $$z9783030997274 001448223 020__ $$z3030997278 001448223 0247_ $$a10.1007/978-3-030-99728-1$$2doi 001448223 035__ $$aSP(OCoLC)1336590528 001448223 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dYDX$$dEBLCP$$dOCLCF$$dOCLCQ 001448223 049__ $$aISEA 001448223 050_4 $$aRC660 001448223 08204 $$a616.4/62075$$223/eng/20220719 001448223 24500 $$aAdvanced bioscience and biosystems for detection and management of diabetes /$$cKishor Kumar Sadasivuni, John-John Cabibihan, Abdulaziz Khalid A.M. Al-Ali, Rayaz A. Malik, editors. 001448223 264_1 $$aCham :$$bSpringer,$$c2022. 001448223 300__ $$a1 online resource :$$billustrations (black and white, and color). 001448223 336__ $$atext$$btxt$$2rdacontent 001448223 337__ $$acomputer$$bc$$2rdamedia 001448223 338__ $$aonline resource$$bcr$$2rdacarrier 001448223 4901_ $$aSpringer series on bio- and neurosystems ;$$vvolume 13 001448223 5050_ $$aIntroduction -- Review of Emerging Approaches Utilizing Alternative Physiological Human Body Fluids in Non- or Minimally Invasive Glucose Monitoring -- Current Status of Non-invasive Diabetics Monitoring -- A New Solution for Non-invasive Glucose Measurement Based on Heart Rate Variability -- Optics Based Techniques for Monitoring Diabetics -- SPR Assisted Diabetics Detection -- Infrared and Raman Spectroscopy Assisted Diagnosis of Diabetics -- Photoacoustic Spectroscopy Mediated Non-Invasive Detection of Diabetics -- Electrical Bioimpedance Based Estimation of Diabetics -- Millimeter and Microwave Sensing Technique for Diagnosis of Diabetics -- Different Machine Learning Algorithm involved in Glucose Monitoring to Prevent Diabetes Complications and Enhanced Diabetes Mellitus Management -- The role of Artificial Intelligence in Diabetes management -- Artificial Intelligence and Machine learning for Diabetes Decision Support -- Commercial Non-Invasive Glucose Sensor Devices for Monitoring Diabetics -- Future Developments in Invasive and Non-Invasive Diabetics Monitoring. 001448223 506__ $$aAccess limited to authorized users. 001448223 520__ $$aThis book covers the medical condition of diabetic patients, their early symptoms and methods conventionally used for diagnosing and monitoring diabetes. It describes various techniques and technologies used for diabetes detection. The content is built upon moving from regressive technology (invasive) and adapting new-age pain-free technologies (non-invasive), machine learning and artificial intelligence for diabetes monitoring and management. This book details all the popular technologies used in the health care and medical fields for diabetic patients. An entire chapter is dedicated to how the future of this field will be shaping up and the challenges remaining to be conquered. Finally, it shows artificial intelligence and predictions, which can be beneficial for the early detection, dose monitoring and surveillance for patients suffering from diabetes. 001448223 588__ $$aDescription based on print version record. 001448223 650_0 $$aDiabetes$$xDiagnosis. 001448223 650_0 $$aDiabetes$$xDiagnosis$$xTechnological innovations. 001448223 655_0 $$aElectronic books. 001448223 7001_ $$aSadasivuni, Kishor Kumar,$$d1986-$$eeditor.$$1https://isni.org/isni/000000038466595X 001448223 7001_ $$aCabibihan, J.-J.$$q(John-John),$$eeditor.$$1https://isni.org/isni/000000049789234X 001448223 7001_ $$aAl-Ali, Abdulaziz Khalid A. M.,$$eeditor. 001448223 7001_ $$aMalik, Rayaz A.,$$eeditor.$$1https://isni.org/isni/0000000040465508 001448223 77608 $$iPrint version:$$tAdvanced bioscience and biosystems for detection and management of diabetes.$$dCham : Springer, 2022$$z9783030997274$$w(OCoLC)1314331996 001448223 830_0 $$aSpringer series on bio- and neurosystems ;$$vv. 13. 001448223 852__ $$bebk 001448223 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-99728-1$$zOnline Access$$91397441.1 001448223 909CO $$ooai:library.usi.edu:1448223$$pGLOBAL_SET 001448223 980__ $$aBIB 001448223 980__ $$aEBOOK 001448223 982__ $$aEbook 001448223 983__ $$aOnline 001448223 994__ $$a92$$bISE