Roy pinki (6 Ergebnisse)
Sprache: Englisch
Verlag: Springer 2021
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
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Sprache: Englisch
Verlag: Springer 2022
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
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Weitere BilderSprache: Englisch
Verlag: Springer 2022
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
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Taschenbuch. Zustand: 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: p…reigu.
Sprache: Englisch
Verlag: Springer Nature Singapore, Springer Nature Singapore 2021
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
- Hardcover
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Buch. Zustand: 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 technolog…ies 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.
Sprache: Englisch
Verlag: Springer, Springer Nature Singapore 2022
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
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Taschenbuch. Zustand: 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 te…chnologies 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)
Sprache: Englisch
Verlag: Springer 2021
Serie: Studies in Computational Intelligence, Buch 439 von 538. Buch 439 von 538 - Studies in Computational Intelligence
- Hardcover
Anbieter: Revaluation Books, Exeter, Vereinigtes KönigreichRevaluation Books
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Hardcover. Zustand: Brand New. 377 pages. 9.75x6.50x1.00 inches. In Stock.
