机器学习和物联网在健康信息学中的应用
This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics. This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all.
这本书汇集了来自世界各地的顶尖专家，探讨机器学习（ML）和物联网（IoT）在医疗健康领域的变革潜力。它为研究一个未来提供了平台，在那个未来中，医疗服务将更加精确、个性化且惠及所有人。本书涵盖了将塑造医疗健康未来的最新进展以及人工智能如何革新疾病检测，从分析肺炎X光片到揭开基因的秘密。它还调查了智能设备的 transformative 潜力、实时心脏数据的分析以及个性化治疗计划的创建。它展示了ML和IoT是如何运作的，并提供了他们正在引领更早且更为准确诊断及个性化治疗的实际例子。因此，这本书将为研究人员、医疗专业人员、数据科学家或对医疗健康未来充满热情的人士提供宝贵的资源。读者将会发现，在机器学习、物联网以及医疗信息学交汇处的令人兴奋的可能性。这本书汇集了来自世界各地的顶尖专家，探讨机器学习（ML）和物联网（IoT）在医疗健康领域的变革潜力。它为研究一个未来提供了平台，在那个未来中，医疗服务将更加精确、个性化且惠及所有人。
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