The Resource Data Science for Healthcare : Methodologies and Applications, edited by Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, (electronic resource)

Data Science for Healthcare : Methodologies and Applications, edited by Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, (electronic resource)

Label
Data Science for Healthcare : Methodologies and Applications
Title
Data Science for Healthcare
Title remainder
Methodologies and Applications
Statement of responsibility
edited by Sergio Consoli, Diego Reforgiato Recupero, Milan Petković
Contributor
Editor
Editor
Provider
Subject
Language
eng
Summary
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
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • H0jvUcYcgJs
  • iZ5MGNn5-io
  • W9WaWLXA-ao
Image bit depth
0
LC call number
QA76.9.D343
Literary form
non fiction
http://library.link/vocab/relatedWorkOrContributorName
  • Consoli, Sergio.
  • Reforgiato Recupero, Diego.
  • Petković, Milan.
  • SpringerLink
http://library.link/vocab/subjectName
  • Data mining
  • Artificial intelligence
  • Medical records
  • Information storage and retrieva
  • Data Mining and Knowledge Discovery
  • Artificial Intelligence
  • Health Informatics
  • Health Informatics
  • Information Storage and Retrieval
  • Information Systems Applications (incl. Internet)
Label
Data Science for Healthcare : Methodologies and Applications, edited by Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XII, 367 p. 110 illus., 82 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030052492
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-05249-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-05249-2
Label
Data Science for Healthcare : Methodologies and Applications, edited by Sergio Consoli, Diego Reforgiato Recupero, Milan Petković, (electronic resource)
Publication
Antecedent source
mixed
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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
Dimensions
unknown
Extent
XII, 367 p. 110 illus., 82 illus. in color.
File format
multiple file formats
Form of item
electronic
Isbn
9783030052492
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-030-05249-2
Other physical details
online resource.
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
(DE-He213)978-3-030-05249-2

Library Locations

  • African Studies LibraryBorrow it
    771 Commonwealth Avenue, 6th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Alumni Medical LibraryBorrow it
    72 East Concord Street, Boston, MA, 02118, US
    42.336388 -71.072393
  • Astronomy LibraryBorrow it
    725 Commonwealth Avenue, 6th Floor, Boston, MA, 02445, US
    42.350259 -71.105717
  • Fineman and Pappas Law LibrariesBorrow it
    765 Commonwealth Avenue, Boston, MA, 02215, US
    42.350979 -71.107023
  • Frederick S. Pardee Management LibraryBorrow it
    595 Commonwealth Avenue, Boston, MA, 02215, US
    42.349626 -71.099547
  • Howard Gotlieb Archival Research CenterBorrow it
    771 Commonwealth Avenue, 5th Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Mugar Memorial LibraryBorrow it
    771 Commonwealth Avenue, Boston, MA, 02215, US
    42.350723 -71.108227
  • Music LibraryBorrow it
    771 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350723 -71.108227
  • Pikering Educational Resources LibraryBorrow it
    2 Silber Way, Boston, MA, 02215, US
    42.349804 -71.101425
  • School of Theology LibraryBorrow it
    745 Commonwealth Avenue, 2nd Floor, Boston, MA, 02215, US
    42.350494 -71.107235
  • Science & Engineering LibraryBorrow it
    38 Cummington Mall, Boston, MA, 02215, US
    42.348472 -71.102257
  • Stone Science LibraryBorrow it
    675 Commonwealth Avenue, Boston, MA, 02445, US
    42.350103 -71.103784
Processing Feedback ...