9789811920561 - prognostic models in healthcare: ai and statistical approaches: 109 (studies in big data, 109) (11 resultados)
Idioma: Inglés
Editorial: Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: Goodwill_NE_Indiana, Fort Wayne, IN, Estados Unidos de AmericaGoodwill_NE_Indiana
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EUR 27,24
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Condición: good. A book that has been read but is in overall good condition. Very minimal wear damage to the cover including scuff marks, but no major holes or tears. The dust jacket if applicable may not be included. Binding may have minimal wear. The majority of pages are undamaged with minimal creasing or tearing. May have mi…nimal pencil underlining and or highlighting of text and possible small amounts of writing. No missing pages. May have some light marks on the page edges or a remainder mark. May have pale yellow yellowed pages. Fast Shipping, safe and secure mailers. Stock photo used.
Idioma: Inglés
Editorial: Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 248,65
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Condición: New. In.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
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EUR 274,70
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Hardcover. Condición: new. Hardcover. 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 r…esearch 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 314,96
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Condición: New.
Idioma: Inglés
Editorial: Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de AmericaGreatBookPrices
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EUR 344,95
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Condición: As New. Unread book in perfect condition.
Idioma: Inglés
Editorial: Springer, Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 312,03
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Buch. Condición: 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 signific…ant 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.
Idioma: Inglés
Editorial: Springer Verlag, Singapore, Singapore 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 420,55
Envío por EUR 32,29Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: new. Hardcover. 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 r…esearch 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. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Idioma: Inglés
Editorial: Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: Revaluation Books, Exeter, , Reino UnidoRevaluation Books
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EUR 261,07
Envío por EUR 14,40Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Hardcover. Condición: Brand New. 526 pages. 9.25x6.10x1.13 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer, Berlin|Springer Nature Singapore|Springer 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: moluna, Greven, , Alemaniamoluna
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EUR 250,30
Envío por EUR 48,99Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Gebunden. Condición: 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 principa…l objective is to thoroughly understand significan.
Idioma: Inglés
Editorial: Springer, Springer Jul 2022 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , AlemaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 299,59
Envío por EUR 23,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Buch. Condición: 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 thoroughly und…erstand 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.
Idioma: Inglés
Editorial: Springer, Springer Jul 2022 2022
Serie: Studies in Big Data, Libro 95 de 95. Libro 95 de 95 - Studies in Big Data
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 299,59
Envío por EUR 60,00Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Buch. Condición: 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 From Dermos…copic 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.
