Smart Electronic Devices And Systems For Biomedical And Healthcare Applications Upendra Kumar
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Smart Electronic Devices and Systems for Biomedical and Healthcare ApplicationsAuthor(s): Upendra Kumar, Rajesh K. Kesharwani, Raj K. Keservani\nFormat: Hardback\nPublisher: Apple Academic Press Inc., Canada\nImprint: Apple Academic Press Inc.\nISBN-13: 9781774918166, 978-1774918166\nSynopsis\nThis new book explores the development of smart bioelectronics and biomedical devices using advanced\ninformation technology, which has significantly revolutionized biomedical engineering and healthcare,\nenabling a variety of applications in advanced clinical medicine, surgery, and implants. The book considers\nthe integration of AI, big data analytics, the Internet of Things, machine learning, cloud storage, and other\ntechnologies for predictive modeling, information analysis, etc., for medical diagnosis and treatment. It\ncovers areas such as medical image retrieval, machine learning for diagnosis, biomedical applications\nbased on mobile phone cell network systems, and much more.
Smart Electronic Devices And Systems For Biomedical And Healthcare Applications Upendra Kumar
Smart Electronic Devices and Systems for Biomedical and Healthcare ApplicationsAuthor(s): Upendra Kumar, Rajesh K. Kesharwani, Raj K. Keservani\nFormat: Hardback\nPublisher: Apple Academic Press Inc., Canada\nImprint: Apple Academic Press Inc.\nISBN-13: 9781774918166, 978-1774918166\nSynopsis\nThis new book explores the development of smart bioelectronics and biomedical devices using advanced\ninformation technology, which has significantly revolutionized biomedical engineering and healthcare,\nenabling a variety of applications in advanced clinical medicine, surgery, and implants. The book considers\nthe integration of AI, big data analytics, the Internet of Things, machine learning, cloud storage, and other\ntechnologies for predictive modeling, information analysis, etc., for medical diagnosis and treatment. It\ncovers areas such as medical image retrieval, machine learning for diagnosis, biomedical applications\nbased on mobile phone cell network systems, and much more.
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