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100%: Redaktion: Jain, Vishal; Deperlioglu, Omer; Krit, Salahddine; Hedayati, Hadi; Chatterjee, Jyotir Moy: Deep Learning for Personalized Healthcare Services (eBook, ePUB) (ISBN: 9783110708172) in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
100%: Herausgeber: Jain, Vishal; Deperlioglu, Omer; Krit, Salahddine; Hedayati, Hadi; Chatterjee, Jyotir Moy: Deep Learning for Personalized Healthcare Services (ISBN: 9783110708004) 2021, in Englisch, Broschiert.Nur diese Ausgabe anzeigen…
56%: Redaktion: Jain, Vishal; Al-Turjman, Fadi; Priyadarshini, Ishaani; Chatterjee, Jyotir Moy: Deep Learning for Healthcare Decision Making (ISBN: 9781000846522) Taylor & Francis Ltd., in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
32%: Redaktion: Jain, Vishal; Al-Turjman, Fadi; Priyadarshini, Ishaani; Chatterjee, Jyotir Moy: Deep Learning for Healthcare Decision Making (eBook, ePUB) (ISBN: 9781000846546) Taylor & Francis Ltd., in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
Deep Learning for Personalized Healthcare Services (eBook, ePUB)
11 Angebote vergleichen
Bester Preis: € 83,95 (vom 01.11.2021)1
Deep Learning for Healthcare Decision Making (eBook, ePUB)
~EN NW EBISBN: 9781000846546 bzw. 1000846547, vermutlich in Englisch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten.
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms. The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms. The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.
2
Deep Learning for Healthcare Decision Making (eBook, PDF)
~EN NW EBISBN: 9781000846522 bzw. 1000846520, vermutlich in Englisch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten.
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms. The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.
Health care today is known to suffer from siloed and fragmented data, delayed clinical communications, and disparate workflow tools due to the lack of interoperability caused by vendor-locked health care systems, lack of trust among data holders, and security/privacy concerns regarding data sharing. The health information industry is ready for big leaps and bounds in terms of growth and advancement. This book is an attempt to unveil the hidden potential of the enormous amount of health information and technology. Throughout this book, we attempt to combine numerous compelling views, guidelines, and frameworks to enable personalized health care service options through the successful application of deep learning frameworks. The progress of the health-care sector will be incremental as it learns from associations between data over time through the application of suitable AI, deep net frameworks, and patterns. The major challenge health care is facing is the effective and accurate learning of unstructured clinical data through the application of precise algorithms. Incorrect input data leading to erroneous outputs with false positives is intolerable in healthcare as patients' lives are at stake. This book is written with the intent to uncover the stakes and possibilities involved in realizing personalized health-care services through efficient and effective deep learning algorithms. The specific focus of this book will be on the application of deep learning in any area of health care, including clinical trials, telemedicine, health records management, etc.
3
Deep Learning for Healthcare Decision Making
DE NW EBISBN: 9781000846522 bzw. 1000846520, in Deutsch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten, published soon.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
4
Deep Learning for Healthcare Decision Making
DE NW EBISBN: 9781000846546 bzw. 1000846547, in Deutsch, Taylor & Francis Ltd. neu, E-Book.
Lieferung aus: Deutschland, zzgl. Versandkosten, published soon.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
5
Deep Learning for Personalized Healthcare Services
~EN HC NWISBN: 3110708000 bzw. 9783110708004, vermutlich in Englisch, Gruyter Walter de GmbH, gebundenes Buch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
6
Jain, Vishal und Chatterjee, Jyotir Moy und Hedayati, Hadi und Krit, Salahddine und Deperlioglu, Omer
Deep Learning for Personalized Healthcare Services
DE NWISBN: 9783110708004 bzw. 3110708000, in Deutsch, de Gruyter, Berlin/New York, Deutschland, neu.
Lieferung aus: Deutschland, 2-3 Werktage.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Redaktion: Jain, Vishal; Deperlioglu, Omer; Krit, Salahddine; Hedayati, Hadi; Chatterjee, Jyotir Moy
Deep Learning for Personalized Healthcare Services (eBook, ePUB)
~EN NWISBN: 9783110708172 bzw. 3110708175, vermutlich in Englisch, Gruyter, Walter de GmbH, neu.
Lieferung aus: Deutschland, Sofort per Download lieferbar, Versandkostenfrei innerhalb von Deutschland.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
10
Herausgeber: Jain, Vishal; Deperlioglu, Omer; Krit, Salahddine; Hedayati, Hadi; Chatterjee, Jyotir Moy
Deep Learning for Personalized Healthcare Services
~EN NWISBN: 9783110708004 bzw. 3110708000, vermutlich in Englisch, De Gruyter / Gruyter, Walter de GmbH, neu.
Lieferung aus: Deutschland, Lieferzeit 1-3 Werktage, Versandkostenfrei innerhalb von Deutschland.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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