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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,A Big Data Infrastructure in Support of Healthy and Independent Living: A Real Case Application,nable the continuous data collection from the everyday life of the elderly, which will be processed by an affordable, accountably secure, and privacy-preserving eHealth platform applying Machine Learning algorithms to deliver interventions such as personalized notifications and alerts to each patien

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Virtual Reality-Based Rehabilitation Gaming System,. 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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The Use of Serious Games for Developing Social and Communication Skills in Children with Autism Speds, 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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,Deep Learning-based Coronary Stenosis Detection in X-ray Angiography Images: Overview and Future Tray 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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Barriers of Artificial Intelligence in the Health Sector,h 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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Artificial Intelligence and Machine Learning for Healthcare978-3-031-11170-9Series ISSN 1868-4394 Series E-ISSN 1868-4408

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https://doi.org/10.1007/3-540-28051-0he best course of treatment, and even help in discovering new therapies. The aim of this chapter it to provide a guide on some survival analysis statistical methods as well as practical examples on how to apply them in oncology. We begin with some theory regarding survival analysis in general, follo

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