Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The book covers a range of bioinformatics tools and methods and their relation to drug designing and drug screening using ML. Several chapters cover clustering techniques and other methods for analyzing human heart-related disorders. The authors also explore the use of ML in creating adaptive therapies for using chemotherapy and androgen deprivation therapy for prostate cancer and for tracking diseases such as Parkinson's Speech, Covid-19, and others. Case studies are included that demonstrate the practical use of ML in healthcare informatics.
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Sudip Kumar Sahana, PhD, is an Associate Professor of Computer Science and Engineering at the Birla Institute of Technology, Mesra, India. His research and teaching interests include soft computing, computational intelligence, distributed computing, and artificial intelligence. He has authored many articles, research papers, and books and is also an editorial board member and reviewer for several reputed journals. He is also the inventor of five patents in the field of artificial intelligence. He has carried out numerous R&D-sponsored projects of around 1.22 million USD.
Rajendrani Mukherjee, PhD, is an Associate Professor of Computer Systems & Information Technology at the Institute of Engineering and Management of the University of Engineering and Management, Kolkata, India. She was formerly affiliated with the Calcutta Institute of Engineering and Management and with multinational corporations such as IBM and Fuzzy Logix. She has published journal and conference research papers and book chapters and served as a conference session chair.
Panchali Datta Choudhury, PhD, is an Assistant Professor at the University of Engineering and Management, Kolkata, India, in the Department of Computer Science and Technology. She completed her PhD in Computer Science and Engineering at the National Institute of Technology, Durgapur, India. Her research interest includes optical networking and protection management in optical networks. She is a member of the Optical Society of America and IEEE.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. He has published over 130 research papers in international journals and peer-reviewed conferences and has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards for his work. He is editor of several book series.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Hardcover. Etat : new. Hardcover. Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The book covers a range of bioinformatics tools and methods and their relation to drug designing and drug screening using ML. Several chapters cover clustering techniques and other methods for analyzing human heart-related disorders. The authors also explore the use of ML in creating adaptive therapies for using chemotherapy and androgen deprivation therapy for prostate cancer and for tracking diseases such as Parkinsons Speech, Covid-19, and others. Case studies are included that demonstrate the practical use of ML in healthcare informatics. Discusses ML in predictive health analytics, pandemic management, AI ethics, application and integration of IoT and ML for effective healthcare, and more. Covers a range of bioinformatics tools and methods and their relation to drug designing and screening using ML. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781774919545
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Hardcover. Etat : new. Hardcover. Machine learning is playing an indispensable role in framing clinical decisions and enhancing accuracy. This new book offers a comprehensive take on the field of biomedical and health informatics, discussing topics that include predictive health analytics, pandemic management, AI ethics, application and integration of Internet of Things and machine learning for effective healthcare, and more. The book covers a range of bioinformatics tools and methods and their relation to drug designing and drug screening using ML. Several chapters cover clustering techniques and other methods for analyzing human heart-related disorders. The authors also explore the use of ML in creating adaptive therapies for using chemotherapy and androgen deprivation therapy for prostate cancer and for tracking diseases such as Parkinsons Speech, Covid-19, and others. Case studies are included that demonstrate the practical use of ML in healthcare informatics. Discusses ML in predictive health analytics, pandemic management, AI ethics, application and integration of IoT and ML for effective healthcare, and more. Covers a range of bioinformatics tools and methods and their relation to drug designing and screening using ML. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781774919545
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