Sprache: Englisch
Verlag: Cham, Springer International Publishing : Imprint: Springer., 2022
ISBN 10: 3030767310 ISBN 13: 9783030767310
Anbieter: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Deutschland
Erstausgabe
1st ed. 2022. XX, 252 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Intelligent Systems Reference Library, 206. Sprache: Englisch.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 164,67
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
EUR 164,67
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. In.
Sprache: Englisch
Verlag: Springer International Publishing, 2022
ISBN 10: 3030767345 ISBN 13: 9783030767341
Anbieter: moluna, Greven, Deutschland
EUR 136,16
Anzahl: Mehr als 20 verfügbar
In den WarenkorbKartoniert / Broschiert. Zustand: New.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030767310 ISBN 13: 9783030767310
Anbieter: moluna, Greven, Deutschland
EUR 136,16
Anzahl: Mehr als 20 verfügbar
In den WarenkorbGebunden. Zustand: New.
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Tracking and Preventing Diseases with Artificial Intelligence | Mayuri Mehta (u. a.) | Taschenbuch | xx | Englisch | 2022 | Springer | EAN 9783030767341 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Sprache: Englisch
Verlag: Springer International Publishing, Springer International Publishing, 2022
ISBN 10: 3030767345 ISBN 13: 9783030767341
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases.
Sprache: Englisch
Verlag: Springer International Publishing, 2021
ISBN 10: 3030767310 ISBN 13: 9783030767310
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents an overview of how machine learning and data mining techniques areused for tracking and preventing diseases. It covers several aspects such asstress level identification of a person from his/her speech,automatic diagnosis of disease from X-ray images,intelligent diagnosis of Glaucoma from clinical eye examination data, prediction of protein-coding genes from big genome data, disease detection through microscopic analysis of blood cells,information retrieval from electronic medical record using named entity recognition approaches, and prediction ofdrug-targetinteractions.The book is suitable forcomputer scientists having a bachelor degree in computer science. The bookis an ideal resource as a reference book for teaching a graduate course on AI for Medicine or AI for Health care.Researchers working in the multidisciplinary areasuse this book to discover the current developments. Besides itsuse in academia, this book provides enough details about the state-of-the-art algorithms addressing various biomedical domains, so that it could be used by industry practitioners who want to implement AI techniques to analyze the diseases.Medical institutions usethis book as reference material andgive tutorials to medical experts on how the advanced AI and ML techniquescontribute to the diagnosis and prediction of the diseases.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 235,46
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 272 pages. 9.25x6.10x0.75 inches. In Stock.