Applications of deep learning and big IoT on personalized healthcare services [electronic resource] / edited by Ritika Wason, Dinesh Goyal, Vishal Jain, S. Balamurugan, Anupam Baliyan.
- 其他作者：
- 其他題名：
- Advances in medical technologies and clinical practice book series.
- 出版： Hershey, Pennsylvania : IGI Global 2020.
- 叢書名： Advances in medical technologies and clinical practice (AMTCP) book series
- 主題： Medical informatics. , Medical care. , Big data. , Internet of things.
- ISBN： 9781799821021 (ebk.) 、 9781799821014 (hbk.)
- URL：
電子書
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- 一般註：Includes bibliographical references and index. Chapter 1. Automation in healthcare services -- Chapter 2. Deep data analytics: future of telehealth -- Chapter 3. Emergence of IoT and big data: a study in the healthcare industry -- Chapter 4. Automation in healthcare: a forecast and outcome medical IoT and big data in healthcare -- Chapter 5. An effective diagnostic model for personalized healthcare using deep learning techniques -- Chapter 6. Real-time mental health monitoring: the Indian scenario -- Chapter 7. Disease diagnosis and treatment using deep learning algorithms for the healthcare system -- Chapter 8. Elderly behavior prediction using a deep learning model in smart homes -- Chapter 9. A surrogate data-based approach for validating deep learning model used in healthcare -- Chapter 10. Managing the scarcity of monitoring data through machine learning for human behavior in mental health care -- Chapter 11. Machine learning is the future for lung cancer prognosis and prediction -- Chapter 12. Effective and accurate diagnosis using brain image fusion. 110年度臺灣學術電子書暨資料庫聯盟採購
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讀者標籤：
- 系統號： 000292283 | 機讀編目格式
館藏資訊
Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.
摘要註
"This book explores the different applications of deep learning algorithms in implementing big data and IoT enabled smart solutions for personalized healthcare services"--