{"product_id":"machine-learning-approaches-and-applications-in-applied-intelligence-for-healthcare-data-analytics-9780367676339","title":"Machine Learning Approaches and Applications in Applied Intelligence for Healthcare Data Analytics","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eThe book \"Machine Learning in Healthcare Informatics: Methods, Paradigms, and Applications\" is a comprehensive guide that explores machine learning techniques and their applications in healthcare informatics. It offers a diverse range of methods and paradigms to empower multi-disciplinary and multi-institutional research, provides a snapshot of current and emerging healthcare informatics paradigms, and highlights the complexity of the field through case studies. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Hardback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 224 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 10 March 2022\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eDelivers a comprehensive and up-to-date overview of machine learning in healthcare informatics\u003cbr\u003eThe book presents a diverse range of techniques aimed at enhancing and empowering multi-disciplinary and multi-institutional machine learning research. It serves as a comprehensive compendium of current and emerging machine learning paradigms specifically tailored for healthcare informatics. Through the use of case studies, the book explores the richness and complexity of the field, highlighting the diversity of approaches and methodologies employed.\u003cbr\u003e\u003cbr\u003eThe book provides a panoramic view of data and machine learning techniques, offering valuable insights and opportunities for novel discoveries. It delves into the theoretical foundations and practical applications of machine learning in healthcare, covering a wide range of topics such as medical image analysis, natural language processing, and predictive modeling.\u003cbr\u003e\u003cbr\u003eIn addition, the book includes a guided tour of machine learning algorithms, architecture design, and applications, showcasing their practical implications in interdisciplinary challenges. This comprehensive and up-to-date overview of machine learning in healthcare informatics is designed to assist researchers, practitioners, and students in understanding and leveraging the power of machine learning to improve healthcare outcomes and advance medical research.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 234 x 156 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9780367676339\u003c\/p\u003e","brand":"Abhishek Kumar,Ashutosh Kumar Dubey,Sreenatha G. Anavatti,Pramod Singh Rathore","offers":[{"title":"Hardback","offer_id":44104725725434,"sku":"9780367676339","price":151.28,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1647339533589_book.jpg?v=1647357799","url":"https:\/\/shulphink.com\/products\/machine-learning-approaches-and-applications-in-applied-intelligence-for-healthcare-data-analytics-9780367676339","provider":"Shulph Ink","version":"1.0","type":"link"}