000			03548nam a22002537a 4500
005			20251102163923.0
008			251102b |||||||| |||| 00| 0 eng d
020			_a9781032544502
082			_a610.285 _bSAM
245			_aMachine learning and IoT applications for health informatics
260			_aBoca Raton _bCRC Press _c2025
300			_aviii, 218 p.
365			_aGBP _b115.00
500			_aTable of contents: Preface 1. Machine Learning and the Role of IoT in Health Informatics Burak TAŞCI 2. Bioconductor Packages to Perform Tensor Decomposition Based Unsupervised Feature Extraction Y-h. Taguchi 3. Smart Health: Advancements in Machine Learning and the Internet of Things Solutions Narasimha Rao Vajjhala and Philip Eappen 4. A Study Aimed at Presenting Methodologies for Enhancing Cost Efficiency in Healthcare Systems Based on Internet of Things (IoT)by Incorporating Sophisticated Deep Learning and Artificial Intelligence Techniques Oishik Ghosh 5. Transforming Healthcare through Machine Learning and the Internet of Things Faridoddin Shariaty 6. IoT-powered AI for Precise Pneumonia Detection in Chest X-Rays Sanjiban Sekhar Roy, Mohd Anas, Abhishek Kumar Pandey, Ramanathan L. and Kathiravan Srinivasan 7. Tensor Decomposition in Genomics Y-h. Taguchi 8. IoT, Artificial Intelligence and Cyber Security: The Paradigms Framing the Future of Digital Healthcare Viraaj Gupta and B.K. Tripathy 9. Integrating IoT, Analytics and Deep Learning in ECG for Cardiovascular care Tuhin Mukherjee 10. Transfer Learning for Multiclass Classification of Bone Marrow Cells Rishabh Hanselia, Dilip Kumar Choubey, Kanchan Bala and Ashutosh Mishra Index [https://www.routledge.com/Machine-Learning-and-IoT-Applications-for-Health-Informatics/Samui-SekharRoy-Zhang-Taguchi/p/book/9781032544502]
520			_aThis book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics. (https://www.routledge.com/Machine-Learning-and-IoT-Applications-for-Health-Informatics/Samui-SekharRoy-Zhang-Taguchi/p/book/9781032544502)
650			_aHealth Information _926006
650			_aHealthcare--IoT Applications _926007
650			_aInternet of things
700			_aSamui, Pijush [Editor] _926008
700			_aSekhar Roy, Sanjiban [Editor] _926009
700			_aZhang, Wengang [Editor] _926010
700			_aTaguchi, Y H [Editor] _926011
942			_cBK _2ddc
999			_c10415 _d10415