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Titlebook: Artificial Intelligence and Machine Learning for Healthcare; Vol. 2: Emerging Met Chee Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2023 Th

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發(fā)表于 2025-3-27 01:01:20 | 只看該作者
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eCustomer Relationship Management,. As the geriatric population progresses, the need for novel solutions to manage age-related diseases increases. To combat this, intensive rehabilitation treatment is instituted repetitively. However, the traditional rehabilitation treatment regimes, involving tedious and monotonous activity with nu
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發(fā)表于 2025-3-27 12:17:05 | 只看該作者
https://doi.org/10.1007/3-540-28051-0ds, or 0.67%—which at the time was considerably higher than previous findings. In 2021, the U.S. Centers for Disease Control issued alarming new data indicating that the rate of autism among American eight-year-old children had risen again, this time to 1 in 44, or about 2.3% (American Psychiatric A
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發(fā)表于 2025-3-27 13:45:52 | 只看該作者
https://doi.org/10.1007/3-540-28051-0ay coronary angiography images is challenging because of the limited availability of rich medical data. Besides, due to the high mortality rates related to stenosis, it is paramount for a robust computer-aided diagnosis system. This study presents a succinct overview of state-of-the-art stenosis det
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https://doi.org/10.1007/3-540-28051-0h the current COVID-19 pandemic is an additional issue. All these barriers contribute to the fact that digitalization in the healthcare sector is moving forward more and more. Without the application of advanced technologies, healthcare organizations would reach their limits. In this context, the us
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發(fā)表于 2025-3-28 04:42:08 | 只看該作者
Chee Peng Lim,Ashlesha Vaidya,Lakhmi C. JainPresents a sample of recent advances in the theory and applications of artificial intelligence paradigms.Written in a coherent and well-founded way.Case studies demonstrate the real world applications
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https://doi.org/10.1007/978-3-031-11170-9Computational Intelligence; Intelligent Systems; Artificial Intelligence; Deep Learning; Intelligent Tec
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