{"product_id":"intelligent-iot-systems-in-personalized-health-care-paperback-9780128211878","title":"Intelligent IoT Systems in Personalized Health Care (Paperback) 9780128211878","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eIntelligent IoT Systems in Personalized Health Care\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003ePresents state-of-the-art of artificial intelligence paradigms on IoT systems surrounding personalized healthcare\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eArun Kumar Sangaiah (Edited by), Subhas Chandra Mukhopadhyay (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128211878, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 11 November 2020\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e360 pages, Approx. 250 illustrations\u003cbr\u003e22.9 x 15.1 x 2.3 cm, 0.57 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eIntelligent IoT Systems in Personalized Health Care\u003c\/i\u003e delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological\/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications.\u003c\/p\u003e  \u003cp\u003eThe book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Combining IoT architectures in next generation healthcare computing systems 2. RFID-based unsupervised apnea detection in health care system 3. Designing a cooperative hierarchical model of interdiction median problem with protection and its solution approach: A case study of health-care network 4. Parallel machine learning and deep learning approaches for internet of medical things (IoMT) 5. Cloud-based IoMT framework for cardiovascular disease prediction and diagnosis in personalized E-health care 6. A study on security privacy issues and solutions in internet of medical things — A review 7. Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care 8. An improved canny detection method for detecting human flexibility 9. Prediction and classification of diabetes mellitus using genomic data 10. An application of cypher query-based dynamic rule-based decision tree over suicide statistics dataset with Neo4j 11. Exploring the possibilities of security and privacy issues in health-care IoT \u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Engineering: general [\u003ca title=\"See our other books on Engineering: general\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Engineering:%20general%20%5BTBC%5D%22\"\u003eTBC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46648881152280,"sku":"9780128211878","price":86.27,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128211878.jpg?v=1694094754","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/intelligent-iot-systems-in-personalized-health-care-paperback-9780128211878","provider":"Freshly Printed Books","version":"1.0","type":"link"}