Isbn: 9783030052485 - data science for healthcare: methodologies and applications (17 risultati)

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

hardcover. Condizione: Gut. 380 Seiten; 9783030052485.3 Gewicht in Gramm: 1.

Condizione: New. In English.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

Hardcover. Condizione: Brand New. 367 pages. 9.25x6.25x1.00 inches. In Stock.

Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare.Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising.This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.…

Condizione: gut. 2019. Data Science for Healthcare: Methodologies and Applications In deutscher Sprache. pages.

Condizione: new. Questo è un articolo print on demand.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare.Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising.This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book. 380 pp. Englisch.…

Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Connects machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies to healthcare applications.Highlights the successful application of these technologies in various h.…

Condizione: New. Print on Demand.

Buch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Part I: Challenges and Basic Technologies.- Data Science in healthcare: benefits, challenges and opportunities.- Introduction to Classification Algorithms and their Performance Analysis using Medical Examples.- The role of deep learning in improving healthcare.- Part II: Specific Technologies and Applications.- Making effective use of healthcare data using data-to-text technology.- Clinical Natural Language Processing with Deep Learning.- Ontology-based Knowledge Management for Comprehensive Geriatric Assessment and Reminiscence Therapy on Social Robots.- Assistive Robots for the elderly: innovative tools to gather health relevant data.- Overview of data linkage methods for integrating separate health data sources.- A Flexible Knowledge-based Architecture For Supporting The Adoption of Healthy Lifestyles with Persuasive Dialogs.- Visual Analytics for Classifier Construction and Evaluation for Medical Data.- Data Visualization in Clinical Practice.- Using process analytics to improve healthcare processes.- A Multi-Scale Computational Approach to Understanding Cancer Metabolism.- Leveraging healthcare financial analytics for improving the health of entire populations.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 380 pp. Englisch. …

Condizione: New. PRINT ON DEMAND.