{"product_id":"machine-learning-and-ai-for-healthcare-big-data-for-improved-health-outcomes-paperback","title":"Machine Learning and AI for Healthcare: Big Data for Improved Health Outcomes - Paperback","description":"\u003cp\u003eby \u003cb\u003eArjun Panesar\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.\u003c\/p\u003e\u003cp\u003eThe book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand key machine learning algorithms and their use and implementation within healthcare\u003c\/li\u003e\n\u003cli\u003eImplement machine learning systems, such as speech recognition and enhanced deep learning\/AI\u003c\/li\u003e\n\u003cli\u003eManage the complexities of massive data\u003c\/li\u003e\n\u003cli\u003eBe familiar with AI and healthcare best practices, feedback loops, and intelligent agents\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cb\u003e\u003cbr\u003e\u003c\/b\u003eHealth care professionals interested in how machine learning can be used to develop health intelligence - with the aim of improving patient health, population health and facilitating significant care-payer cost savings.\u003cbr\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis updated second edition offers a guided tour of machine learning algorithms and architecture design. It provides real-world applications of intelligent systems in healthcare and covers the challenges of managing big data.\u003c\/p\u003e\u003cp\u003eThe book has been updated with the latest research in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex machine learning models. Updated case studies from global healthcare providers showcase the use of big data and AI in the fight against chronic and novel diseases, including COVID-19. The ethical implications of digital healthcare, analytics, and the future of AI in population health management are explored. You will learn how to create a machine learning model, evaluate its performance, and operationalize its outcomes within your organization. Case studies from leading healthcare providers cover scaling global digital services. Techniques are presented to evaluate the efficacy, suitability, and efficiency of AI machine learning applications through case studies and best practice, including the Internet of Things.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou will understand how machine learning can be used to develop health intelligence-with the aim of improving patient health, population health, and facilitating significant care-payer cost savings.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eYou will: \u003cbr\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand key machine learning algorithms and their use and implementation within healthcare\u003c\/li\u003e\n\u003cli\u003eImplement machine learning systems, such as speech recognition and enhanced deep learning\/AI\u003c\/li\u003e\n\u003cli\u003eManage the complexities of massive data\u003c\/li\u003e\n\u003cli\u003eBe familiar with AI and healthcare best practices, feedback loops, and intelligent agents\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cbr\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eArjun Panesar\u003c\/b\u003e is the founder of Diabetes Digital Media (DDM), the world's largest diabetes community and provider of evidence-based digital health interventions. He holds an honors degree (MEng) in computing and artificial intelligence from Imperial College, London. He has a decade of experience in big data and affecting user outcomes, and leads the development of intelligent, evidence-based digital health interventions that harness the power of big data and machine learning to provide precision patient care to patients, health agencies, and governments worldwide.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eArjun's work has received international recognition and was featured by the BBC, \u003ci\u003eForbes\u003c\/i\u003e, \u003ci\u003eNew Scientist\u003c\/i\u003e, and \u003ci\u003eThe Times\u003c\/i\u003e. He has received innovation, business, and technology awards, including being named the top app for prevention of type 2 diabetes.\u003c\/p\u003e\u003cp\u003eArjun is an advisor to the Information School, at the University of Sheffield, Fellow to the NHS Innovation Accelerator, and was recognized by Imperial College as an Emerging Leader in 2020 for his contribution and impact to society.\u003c\/p\u003e\u003cbr\u003e\u003cp\u003e\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 407\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.89 x 10 x 7 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 16, 2020\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":51788545130784,"sku":"9781484265369","price":59.38,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0974\/9764\/5344\/files\/9acca5e2b5973057e29440ffff0014fb.webp?v=1780654169","url":"https:\/\/ebocreations.com\/products\/machine-learning-and-ai-for-healthcare-big-data-for-improved-health-outcomes-paperback","provider":"The E-Book Oasis LLC","version":"1.0","type":"link"}