Deep Learning for Personalized Healthcare Services - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Personalized Healthcare Services write by Vishal Jain. This book was released on 2021-10-25. Deep Learning for Personalized Healthcare Services available in PDF, EPUB and Kindle. This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.
Applications of Deep Learning and Big IoT on Personalized Healthcare Services
Applications of Deep Learning and Big IoT on Personalized Healthcare Services - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Applications of Deep Learning and Big IoT on Personalized Healthcare Services write by Wason, Ritika. This book was released on 2020-02-07. Applications of Deep Learning and Big IoT on Personalized Healthcare Services available in PDF, EPUB and Kindle. 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.
Deep Learning for Personalized Healthcare Services
Deep Learning for Personalized Healthcare Services - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Personalized Healthcare Services write by Vishal Jain. This book was released on 2021. Deep Learning for Personalized Healthcare Services available in PDF, EPUB and Kindle. This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This
Deep Learning in Personalized Healthcare and Decision Support
Deep Learning in Personalized Healthcare and Decision Support - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning in Personalized Healthcare and Decision Support write by Harish Garg. This book was released on 2023-07-20. Deep Learning in Personalized Healthcare and Decision Support available in PDF, EPUB and Kindle. Deep Learning in Personalized Healthcare and Decision Support discusses the potential of deep learning technologies in the healthcare sector. The book covers the application of deep learning tools and techniques in diverse areas of healthcare, such as medical image classification, telemedicine, clinical decision support system, clinical trials, electronic health records, precision medication, Parkinson disease detection, genomics, and drug discovery. In addition, it discusses the use of DL for fraud detection and internet of things. This is a valuable resource for researchers, graduate students and healthcare professionals who are interested in learning more about deep learning applied to the healthcare sector. Although there is an increasing interest by clinicians and healthcare workers, they still lack enough knowledge to efficiently choose and make use of technologies currently available. This book fills that knowledge gap by bringing together experts from technology and clinical fields to cover the topics in depth. Discusses the application of deep learning in several areas of healthcare, including clinical trials, telemedicine and health records management Brings together experts in the intersection of deep learning, medicine, healthcare and programming to cover topics in an interdisciplinary way Uncovers the stakes and possibilities involved in realizing personalized healthcare services through efficient and effective deep learning technologies
Deep Learning for Personalized Healthcare Services
Deep Learning for Personalized Healthcare Services - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning for Personalized Healthcare Services write by Vishal Jain. This book was released on 2021-10-25. Deep Learning for Personalized Healthcare Services available in PDF, EPUB and Kindle. THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets.
