9783030767310 - Tracking and Preventing Diseases with Artificial Intelligence: 206 (Intelligent Systems Reference Library) (12 resultados)

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.

Gebunden. Condición: New.

Condición: New. In.

Buch. Condición: 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.

Buch. Condición: Neu. Neuware -This book presents an overview of how machine learning and data mining techniques are used for tracking and preventing diseases. It covers several aspects such as stress 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 of drug-target interactions.The book is suitable for computer scientists having a bachelor degree in computer science. The book is 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 areas use 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 use this book as reference material and give tutorials to medical experts on how the advanced AI and ML techniques contribute to the diagnosis and prediction of the diseases.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch.

Condición: New.

Condición: New.

Condición: New.

Hardcover. Condición: Brand New. 272 pages. 9.25x6.10x0.75 inches. In Stock.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 its use 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. 272 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.