Artículos relacionados a Artificial Intelligence and Machine Learning in Public...
Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact (SpringerBriefs in Computational Intelligence) - Tapa blanda
Sinopsis
This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example—a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Professor KC Santosh, Ph.D., is Chair of the Department of Computer Science at the University of South Dakota (USD). He also serves International Medical University as an Adjunct Professor (Full). Before joining USD, he worked as Research Fellow at the US National Library of Medicine (NLM), National Institutes of Health (NIH). He was Postdoctoral Research Scientist at the Loria Research Centre (with industrial partner, ITESOFT (France)). He has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing, and data mining with applications- such as medical imaging informatics, document imaging, biometrics, forensics and speech analysis. His research projects are funded (of more than $2m) by multiple agencies, such as SDCRGP, Department of Education, National Science Foundation, and Asian Office of Aerospace Research and Development. He is the proud recipient of the Cutler Award for Teaching and Research Excellence (USD,2021), the President's Research Excellence Award (USD, 2019), and the Ignite from the U.S. Department of Health & Human Services (2014).
Professor Loveleen Gaur, Ph.D., is Professor and Program Director, Artificial Intelligence & Business Intelligence and Data Analytics of the Amity International Business School, Amity University, Noida, India. She is Senior IEEE Member and Series Editor with CRC and Wiley. She has significantly contributed to enhancing scientific understanding by participating in over three hundred scientific conferences, symposia, and seminars, by chairing technical sessions and delivering plenary and invited talks. She has specialized in the fields of artificial intelligence, machine learning, pattern recognition, Internet of things, data analytics, and business intelligence. She has chaired various positions in the international conferences of repute and is Reviewer with top-rated journals of IEEE, SCI, and ABDC Journals. She has been honored with prestigious national and international awards. She is also actively involved in various reputed projects of Government of India and abroad.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 69,64
EUR 5,13 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoResultados de la búsqueda para Artificial Intelligence and Machine Learning in Public...
Imagen de archivo
Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact (SpringerBriefs in Computational Intelligence)
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9789811667671_new
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Artificial Intelligence and Machine Learning in Public Healthcare : Opportunities and Societal Impact
Librería: Chiron Media, Wallingford, Reino Unido
Calificación del vendedor: 4 de 5 estrellas
PF. Condición: New. Nº de ref. del artículo: 6666-IUK-9789811667671
Cantidad disponible: 10 disponibles
Imagen del vendedor
Artificial Intelligence and Machine Learning in Public Healthcare
Publicado por
Springer, Berlin|Springer Nature Singapore|Springer, 2022
ISBN 10: 9811667675
ISBN 13: 9789811667671
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sus. Nº de ref. del artículo: 501252706
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Artificial Intelligence and Machine Learning in Public Healthcare
Publicado por
Springer Nature Singapore, Springer Nature Singapore Nov 2021, 2021
ISBN 10: 9811667675
ISBN 13: 9789811667671
Nuevo
Taschenbuch
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions. 100 pp. Englisch. Nº de ref. del artículo: 9789811667671
Cantidad disponible: 2 disponibles
Imagen del vendedor
Artificial Intelligence and Machine Learning in Public Healthcare : Opportunities and Societal Impact
Publicado por
Springer Nature Singapore, Springer Nature Singapore, 2021
ISBN 10: 9811667675
ISBN 13: 9789811667671
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example-a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions. Nº de ref. del artículo: 9789811667671
Cantidad disponible: 1 disponibles
Imagen de archivo
Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact (SpringerBriefs in Computational Intelligence)
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9789811667671
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Artificial Intelligence and Machine Learning in Public Healthcare : Opportunities and Societal Impact
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 44058493-n
Cantidad disponible: 15 disponibles
Imagen del vendedor
Artificial Intelligence and Machine Learning in Public Healthcare
Publicado por
Springer Nature Singapore, Springer Nature Singapore Nov 2021, 2021
ISBN 10: 9811667675
ISBN 13: 9789811667671
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an example¿a truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 100 pp. Englisch. Nº de ref. del artículo: 9789811667671
Cantidad disponible: 2 disponibles
Imagen de archivo
Artificial Intelligence and Machine Learning in Public Healthcare: Opportunities and Societal Impact (SpringerBriefs in Computational Intelligence)
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Apr0412070093181
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Artificial Intelligence and Machine Learning in Public Healthcare (Paperback)
Publicado por
Springer Verlag, Singapore, Singapore, 2021
ISBN 10: 9811667675
ISBN 13: 9789811667671
Nuevo
Paperback
Original o primera edición
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Paperback. Condición: new. Paperback. This book discusses and evaluates AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Public health requires special attention as it drives economy and education system. COVID-19 is an examplea truly infectious disease outbreak. The vision of WHO is to create public health services that can deal with abovementioned crucial challenges by focusing on the following elements: health protection, disease prevention and health promotion. For these issues, in the big data analytics era, AI and ML tools/techniques have potential to improve public health (e.g., existing healthcare solutions and wellness services). In other words, they have proved to be valuable tools not only to analyze/diagnose pathology but also to accelerate decision-making procedure especially when we consider resource-constrained regions. It also helps find ways in which we can measure possible consequences and societal impacts by taking the following factors into account: open public health issues and common AI solutions (with multiple case studies, such as TB and SARS: COVID-19), AI in sustainable health care, AI in precision medicine and data privacy issues. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9789811667671
Cantidad disponible: 1 disponibles