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• W4317465162 abstract "In recent years, the continuous population growth and an associated increase in expectancy coupled with the global infectious disease lead to the search for new ways of making the most use of limited resources. Automated disease monitoring, diagnosis, prediction, and treatment of patients is not only for fast data but to get reliable service at reduced cost and accurate results from medical experts. The Internet of medical of things (IoMT) has emerged and caught the attention of many researchers in the healthcare system. The IoMT-embedded sensor is a driver for collecting a huge amount of data, but managing these datasets is becoming a serious challenge to handle. However, the integration and design of IoMT-based embedded sensors present many challenges, especially in the areas of data exchange, monitoring, and diagnosing of patients. Hence, there is a need for self-adaptive-based strategies to effectively collate, analyze, and interpret the big data in the cloud database. Artificial intelligence (AI) is causing a paradigm shift in the healthcare sector, and the applicability in the IoMT-based devices might yield profit, especially in the use of big data for decision-making and for predicting various diseases. Thus, AI systems can be used as self-adaptive strategies in IoMT-based systems to gather, scrutinize, and interpret the huge amount of data stored in the cloud database. AI is an emerging and active model to transform the IoMT-based application, and developments. The application of AI in IoMT-based can be expediting the diagnoses and monitoring of various diseases and minimizes the burden of these processes. Therefore, this chapter discusses the areas of applicability of AI-enabled IoMT-based systems. The chapter also discusses several extraordinary opportunities brought by AI-enabled IoMT and the research challenges. This system has been commonly used to achieve relatively precise recognition accuracy and to reduce the burden on health systems by reducing the time of evaluation associated with conventional approach detection procedures. The continued expansion of AI with IoMT-based technique in the healthcare system will dramatically improve monitoring, diagnosis, monitoring, analysis, forecasting, and medications/vaccine production process and minimize human involvement in healthcare treatment." @default.
• W4317465162 created "2023-01-20" @default.
• W4317465162 creator A5037374393 @default.
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• W4317465162 date "2023-01-01" @default.
• W4317465162 modified "2023-10-18" @default.
• W4317465162 title "Internet of medical things for enhanced smart healthcare systems" @default.
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• W4317465162 cites W2046353767 @default.
• W4317465162 cites W2128264585 @default.
• W4317465162 cites W2147035977 @default.
• W4317465162 cites W2468793326 @default.
• W4317465162 cites W2512827249 @default.
• W4317465162 cites W2533379268 @default.
• W4317465162 cites W2556587699 @default.
• W4317465162 cites W2573735377 @default.
• W4317465162 cites W2636297992 @default.
• W4317465162 cites W2739204784 @default.
• W4317465162 cites W2751049114 @default.
• W4317465162 cites W2752051970 @default.
• W4317465162 cites W2759360878 @default.
• W4317465162 cites W2767381938 @default.
• W4317465162 cites W2768229290 @default.
• W4317465162 cites W2781661799 @default.
• W4317465162 cites W2783736514 @default.
• W4317465162 cites W2784124472 @default.
• W4317465162 cites W2795231562 @default.
• W4317465162 cites W2802341089 @default.
• W4317465162 cites W2804151859 @default.
• W4317465162 cites W2804804101 @default.
• W4317465162 cites W2888679364 @default.
• W4317465162 cites W2892341857 @default.
• W4317465162 cites W2892370045 @default.
• W4317465162 cites W2893405045 @default.
• W4317465162 cites W2896741512 @default.
• W4317465162 cites W2897071747 @default.
• W4317465162 cites W2898735074 @default.
• W4317465162 cites W2898760061 @default.
• W4317465162 cites W2899186456 @default.
• W4317465162 cites W2899446476 @default.
• W4317465162 cites W2900426044 @default.
• W4317465162 cites W2901226889 @default.
• W4317465162 cites W2906508336 @default.
• W4317465162 cites W2910096450 @default.
• W4317465162 cites W2913555801 @default.
• W4317465162 cites W2914394249 @default.
• W4317465162 cites W2915213244 @default.
• W4317465162 cites W2926287779 @default.
• W4317465162 cites W2927712622 @default.
• W4317465162 cites W2941036880 @default.
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• W4317465162 cites W2967412240 @default.
• W4317465162 cites W2969947869 @default.
• W4317465162 cites W2981731882 @default.
• W4317465162 cites W2990522736 @default.
• W4317465162 cites W3012843799 @default.
• W4317465162 cites W3014059898 @default.
• W4317465162 cites W3015057921 @default.
• W4317465162 cites W3017050370 @default.
• W4317465162 cites W3019586571 @default.
• W4317465162 cites W3021303430 @default.
• W4317465162 cites W3025943797 @default.
• W4317465162 cites W3033248051 @default.
• W4317465162 cites W3035264179 @default.
• W4317465162 cites W3039940949 @default.
• W4317465162 cites W3043904603 @default.
• W4317465162 cites W3047884290 @default.
• W4317465162 cites W3091122297 @default.
• W4317465162 cites W3091132834 @default.
• W4317465162 cites W3095711016 @default.
• W4317465162 cites W3099185017 @default.
• W4317465162 cites W3104749795 @default.
• W4317465162 cites W3115348209 @default.
• W4317465162 cites W3131131608 @default.
• W4317465162 cites W3132998456 @default.
• W4317465162 cites W3133140302 @default.
• W4317465162 cites W3162783299 @default.
• W4317465162 cites W3183805976 @default.
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• W4317465162 cites W3201339653 @default.
• W4317465162 cites W4240331892 @default.
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• W4317465162 doi "https://doi.org/10.1016/b978-0-323-91916-6.00009-6" @default.
• W4317465162 hasPublicationYear "2023" @default.
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