Health Informatics Computational Perspective (39 results)
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Applied Smart Health Care Informatics : A Computational Intelligence Perspective
De, Sourav (EDT); Das, Rik (EDT); Bhattacharyya, Siddhartha (EDT); Maulik, Ujjwal (EDT)
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Applied Smart Health Care Informatics : A Computational Intelligence Perspective
De, Sourav (EDT); Das, Rik (EDT); Bhattacharyya, Siddhartha (EDT); Maulik, Ujjwal (EDT)
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Applied Smart Health Care Informatics : A Computational Intelligence Perspective
De, Sourav (EDT); Das, Rik (EDT); Bhattacharyya, Siddhartha (EDT); Maulik, Ujjwal (EDT)
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Applied Smart Health Care Informatics : A Computational Intelligence Perspective
De, Sourav (EDT); Das, Rik (EDT); Bhattacharyya, Siddhartha (EDT); Maulik, Ujjwal (EDT)
- Hardcover
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- Hardcover
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Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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Language: English
Published by Springer, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
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- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Neuware - Applied Smart Health Care Informatics Explores how intelligent systems offer new opportunities for optimizing the acquisition, storage, retrieval, and use of information in healthcare Applied Smart Health Care Informatics explores how health information technology and intelligent systems can be in…tegrated and deployed to enhance healthcare management. Edited and authored by leading experts in the field, this timely volume introduces modern approaches for managing existing data in the healthcare sector by utilizing artificial intelligence (AI), meta-heuristic algorithms, deep learning, the Internet of Things (IoT), and other smart technologies. Detailed chapters review advances in areas including machine learning, computer vision, and soft computing techniques, and discuss various applications of healthcare management systems such as medical imaging, electronic medical records (EMR), and drug development assistance. Throughout the text, the authors propose new research directions and highlight the smart technologies that are central to establishing proactive health management, supporting enhanced coordination of care, and improving the overall quality of healthcare services. - Provides an overview of different deep learning applications for intelligent healthcare informatics management - Describes novel methodologies and emerging trends in artificial intelligence and computational intelligence and their relevance to health information engineering and management - Proposes IoT solutions that disseminate essential medical information for intelligent healthcare management - Discusses mobile-based healthcare management, content-based image retrieval, and computer-aided diagnosis using machine and deep learning techniques - Examines the use of exploratory data analysis in intelligent healthcare informatics systems Applied Smart Health Care Informatics: A Computational Intelligence Perspective is an invaluable text for graduate students, postdoctoral researchers, academic lecturers, and industry professionals working in the area of healthcare and intelligent soft computing.
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Language: English
Published by Springer, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Health Informatics: A Computational Perspective in Healthcare | Ripon Patgiri (u. a.) | Taschenbuch | x | Englisch | 2022 | Springer | EAN 9789811597374 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter:… preigu.
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Language: English
Published by Springer Nature Singapore, Springer Nature Singapore, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key technol…ogies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help ofcomputing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.
Language: English
Published by Springer, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
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Condition: New. 1st ed. 2021 edition NO-PA16APR2015-KAP.
Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
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Language: English
Published by Springer, Springer Nature Singapore, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of the key…technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help ofcomputing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression.
Health Informatics: A Computational Perspective in Healthcare
Patgiri, Ripon (Edited by)/ Biswas, Anupam (Edited by)/ Roy, Pinki (Edited by)
Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
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- Hardcover
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Language: English
Published by Springer, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
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Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
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Language: English
Published by Springer, 2022
Series: Book 439 of 538 - Studies in Computational Intelligence
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Language: English
Published by Springer, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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- Hardcover
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Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Hardcover. Condition: Brand New. 275 pages. 9.60x6.69x0.71 inches. In Stock. This item is printed on demand.
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Language: English
Published by Springer Nature Singapore Jan 2021, 2021
Series: Book 439 of 538 - Studies in Computational Intelligence
- Hardcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents innovative research works to demonstrate the potential and the advancements of computing approaches to utilize healthcare centric and medical datasets in solving complex healthcare problems. Computing technique is one of… the key technologies that are being currently used to perform medical diagnostics in the healthcare domain, thanks to the abundance of medical data being generated and collected. Nowadays, medical data is available in many different forms like MRI images, CT scan images, EHR data, test reports, histopathological data and doctor patient conversation data. This opens up huge opportunities for the application of computing techniques, to derive data-driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, machine learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data-driven approach is not taken. With the help ofcomputing systems, today, it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. Apart from automatic diagnostic tasks, computing techniques have also been applied in the process of drug discovery, by which a lot of time and money can be saved. Utilization of genomic data using various computing techniques is another emerging area, which may in fact be the key to fulfilling the dream of personalized medications. Medical prognostics is another area in which machine learning has shown great promise recently, where automatic prognostic models are being built that can predict the progress of the disease, as well as can suggest the potential treatment paths to get ahead of the disease progression. 388 pp. Englisch.
