Verwandte Artikel zu Big Data Analytics for Healthcare: Datasets, Techniques,...
Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications - Softcover
Inhaltsangabe
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Über die Autorin bzw. den Autor
Pantea Keikhosrokiani is a Senior Lecturer at the School of Computer Sciences, Universiti Sains Malaysia (USM; Penang, Malaysia). She was a teaching fellow at the National Advanced IPv6 Centre of Excellence (Nav6), USM. She has received her PhD in Service System Engineering, Information System, and her master’s degree in information technology from the School of Computer Sciences, USM. She has been graduated in Bachelor of Science in Electrical Engineering Electronics. Her articles have been published in distinguished edited books and journals including Elsevier (Telematics & Informatics), Springer (Cognition, Technology, & Work), Taylors and Francis and IGI global, and have been indexed by ISI, Scopus and PubMed. Her recent book is published by Elsevier entitled Perspectives in The Development of Mobile Medical Information Systems: Life Cycle, Management, Methodological Approach and Application. Her areas of interest for research and teaching are Information Systems Development, Behavior-change support systems, Database Systems, Health and Medical Informatics, Business Informatics, Location-Based Mobile Applications, Big Data, and Technopreneurship.
Von der hinteren Coverseite
Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases.The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths.It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Gebraucht kaufen
Zustand: BefriedigendIt's a preowned item in good condition...
Diesen Artikel anzeigen
EUR 38,00
Gratis für den Versand innerhalb von/der USA
Versandziele, Kosten & DauerNeu kaufen
Diesen Artikel anzeigen
EUR 143,72
EUR 7,48 für den Versand von Vereinigtes Königreich nach USA
Versandziele, Kosten & DauerSuchergebnisse für Big Data Analytics for Healthcare: Datasets, Techniques,...
Beispielbild für diese ISBN
Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications
Verlag:
Academic Press (edition 1), 2022
ISBN 10: 0323919073
ISBN 13: 9780323919074
Gebraucht
Paperback
Anbieter: BooksRun, Philadelphia, PA, USA
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Good. 1. It's a preowned item in good condition and includes all the pages. It may have some general signs of wear and tear, such as markings, highlighting, slight damage to the cover, minimal wear to the binding, etc., but they will not affect the overall reading experience. Artikel-Nr. 0323919073-11-1
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data Analytics for Healthcare : Datasets, Techniques, Life Cycles, Management, and Applications
Verlag:
Elsevier Science & Technology, 2022
ISBN 10: 0323919073
ISBN 13: 9780323919074
Gebraucht
Softcover
Anbieter: Better World Books, Mishawaka, IN, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Used book that is in almost brand-new condition. Artikel-Nr. 52607203-6
Anzahl: 1 verfügbar
Beispielbild für diese ISBN
Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. Artikel-Nr. 389487224
Anzahl: 3 verfügbar
Beispielbild für diese ISBN
Big Data Analytics for Healthcare: Datasets, Techniques, Life Cycles, Management, and Applications
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
Paperback. Zustand: Brand New. 334 pages. 10.75x8.50x0.75 inches. In Stock. Artikel-Nr. __0323919073
Anzahl: 2 verfügbar