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The Resource Data mining in clinical medicine, edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez

Data mining in clinical medicine, edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez

Label
Data mining in clinical medicine
Title
Data mining in clinical medicine
Statement of responsibility
edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez
Contributor
Subject
Language
eng
Summary
This volume complies a set of Data Mining techniques and new applications in real biomedical scenarios. Chapters focus on innovative data mining techniques, biomedical datasets and streams analysis, and real applications. Written in the highly successful Methods in Molecular Biology series format, chapters are thought to show to Medical Doctors and Engineers the new trends and techniques that are being applied to Clinical Medicine with the arrival of new Information and Communication technologies Authoritative and practical,{OCLCbr#A0}Data Mining in Clinical Medicine seeks to aid scientists with{OCLCbr#A0} new approaches and trends in the field
Member of
Cataloging source
RML
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
Series statement
Methods in molecular biology,
Series volume
1246
Data mining in clinical medicine, edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez
Label
Data mining in clinical medicine, edited by Carlos Fernández-Llatas, Juan Miguel García-Gómez
Link
http://libproxy.rpi.edu/login?url=http://link.springer.com/10.1007/978-1-4939-1985-7
Publication
Copyright
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Related Location
Related Agents
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Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Using process mining for automatic support of clinical pathways design
  • Carlos Fernandez-Llatas ... [et al.]
  • Analyzing complex patients' temporal histories : new frontiers in temporal data mining
  • Lucia Sacchi, Arianna Dagliati, and Riccardo Bellazzi
  • Snow system : a decentralized medical data processing system
  • Johan Gustav Bellika, Torje Starbo Henriksen, and Kassaye Yitbarek Yigzaw
  • Data mining for pulsing the emotion on the web
  • Jose Enrique Borras- Morell
  • Introduction on health recommender systems
  • C. L. Sanchez-Bocanegra, F. Sanchez-Laguna, and J. L. Sevillano
  • Actigraphy pattern analysis for outpatient monitoring
  • Cloud computing for context-aware enhanced m-health services
  • Carlos Fernandez-Llatas ... [et al.]
  • Analysis of speech-based measures for detecting and monitoring alzheimer's disease
  • A. Khodabakhsh and C. Demiroglu
  • Applying data mining for the analysis of breast cancer data
  • Der-Ming Liou and Wei-Pin Chang
  • Mining data when technology is applied to support patients and professional on the control of chronic diseases : the experience of the METABO platform for diabetes management
  • Giuseppe Fico ... [et al.]
  • Data analysis in cardiac arrhythmias
  • Miguel Rodrigo ... [et al.]
  • Elies Fuster-Garcia ... [et al.]
  • Knowledge-based personal health system to empower outpatients of diabetes mellitus by means of P4 medicine
  • Adrián Bresó ... [et al.]
  • Serious games for elderly continuous monitoring
  • Lenin-G. Lemus-Zúñiga ... [et al.]
  • Definition of loss functions for learning from imbalanced data to minimize evaluation metrics
  • Juan Miguel Garcia-Gómez and Salvador Tortajada
  • Audit method suited for DSS in clinical environment
  • Javier Vicente
  • Incremental logistic regression for customizing automatic diagnostic models
  • Salvador Tortajada, Montserrat Robles, and Juan Miguel Garcia-Gómez
http://library.link/vocab/cover_art
https://contentcafe2.btol.com/ContentCafe/Jacket.aspx?Return=1&Type=S&Value=9781493919857&userID=ebsco-test&password=ebsco-test
Dimensions
unknown
http://library.link/vocab/discovery_link
{'f': 'http://opac.lib.rpi.edu/record=b3648688'}
Extent
1 online resource (xiii, 270 pages)
Form of item
online
Isbn
9781493919857
Lccn
2014955054
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other physical details
illustrations (some color)
Specific material designation
remote

Library Locations

    • Folsom LibraryBorrow it
      110 8th St, Troy, NY, 12180, US
      42.729766 -73.682577
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