9789811920592 - prognostic models in healthcare: ai and statistical approaches: 109 (8 risultati)
Lingua: Inglese
Editore: Springer 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Altre immaginiLingua: Inglese
Editore: Springer 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Prognostic Models in Healthcare: AI and Statistical Approaches | Tanzila Saba (u. a.) | Taschenbuch | Studies in Big Data | xxii | Englisch | 2023 | Springer | EAN 9789811920592 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]sp…ringer[dot]com | Anbieter: preigu.
Lingua: Inglese
Editore: Springer, Springer 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand…significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.
Prognostic Models in Healthcare: Ai and Statistical Approaches
Saba, Tanzila (Editor)/ Rehman, Amjad (Editor)/ Roy, Sudipta (Editor)
Lingua: Inglese
Editore: Springer Nature 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 418,76
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Paperback. Condizione: Brand New. 526 pages. 9.25x6.10x1.06 inches. In Stock.
Lingua: Inglese
Editore: Springer 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 230,32
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Condizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer Nature Singapore Jul 2023 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 267,49
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thorou…ghly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry. 528 pp. Englisch.
Lingua: Inglese
Editore: Springer, Berlin|Springer Nature Singapore|Springer 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: moluna, Greven, Germaniamoluna
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EUR 250,30
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book s principal objecti…ve is to thoroughly understand significan.
Lingua: Inglese
Editore: Springer, Springer Jul 2023 2023
Serie: Studies in Big Data, Libro 95 di 95. Libro 95 di 95 - Studies in Big Data
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 299,59
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -¿Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions.- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging.- Skin Lesion Classification Fro…m Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach.- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention.- Health monitoring methods in heart diseases based on data mining approach, a directional survey.- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's.- Skin Lesion Detection Using Recent Machine Learning Approaches.- Improving monitoring and controling parameters for Alzheimer's patients based on IoT.- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network.- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 528 pp. Englisch.
