Healthcare Technologies Health Informatics

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Bol This book covers technological advances in healthcare such as CAD in drug discovery, precision medicine, the evolution of medical devices, and data management, AI and ML in biomedical and healthcare applications, telemedicine, cloud computing systems, IoMT and cybersecurity of EMR are also discussed. Health Informatics: Technologies and applications covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness. Discussing health data and big data analytics for healthcare information, the editors also look at the application of artificial intelligence in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature selection, class imbalance, model robustness, and scalability. With the advancement of telemedicine, the book will also examine cloud computing systems and the internet of medical things (IoMT), with particular reference to cybersecurity concerns and the reliable management of electronic medical records. The editors look at deploying these technologies for improved detection and therapeutic considerations for neurological and physiological conditions. The book will be suitable for an audience of computer scientists and engineers particularly researchers working in healthcare technologies, AI/ML, computer science, data analysis or IoMT.

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This book covers technological advances in healthcare such as CAD in drug discovery, precision medicine, the evolution of medical devices, and data management, AI and ML in biomedical and healthcare applications, telemedicine, cloud computing systems, IoMT and cybersecurity of EMR are also discussed. Health Informatics: Technologies and applications covers technological advances in healthcare that contribute to precision medicine and early detection of diseases. The editors explore the evolution of medical devices with attention to data management, patient safety and cost effectiveness. Discussing health data and big data analytics for healthcare information, the editors also look at the application of artificial intelligence in the healthcare arena, examining the concepts of machine learning for image sensing and the importance of feature selection, class imbalance, model robustness, and scalability. With the advancement of telemedicine, the book will also examine cloud computing systems and the internet of medical things (IoMT), with particular reference to cybersecurity concerns and the reliable management of electronic medical records. The editors look at deploying these technologies for improved detection and therapeutic considerations for neurological and physiological conditions. The book will be suitable for an audience of computer scientists and engineers particularly researchers working in healthcare technologies, AI/ML, computer science, data analysis or IoMT.

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Pages: 317, Hardcover, Institution of Engineering & Technology


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Merk Institution of Engineering & Technology
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  • 9781837240883
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