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Machine Learning for Health Informatics

Overview of attention for book
Cover of 'Machine Learning for Health Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Machine Learning for Health Informatics
  3. Altmetric Badge
    Chapter 2 Bagging Soft Decision Trees
  4. Altmetric Badge
    Chapter 3 Grammars for Discrete Dynamics
  5. Altmetric Badge
    Chapter 4 Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform
  6. Altmetric Badge
    Chapter 5 Visualisation of Integrated Patient-Centric Data as Pathways: Enhancing Electronic Medical Records in Clinical Practice
  7. Altmetric Badge
    Chapter 6 Deep Learning Trends for Focal Brain Pathology Segmentation in MRI
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    Chapter 7 Differentiation Between Normal and Epileptic EEG Using K-Nearest-Neighbors Technique
  9. Altmetric Badge
    Chapter 8 Survey on Feature Extraction and Applications of Biosignals
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    Chapter 9 Argumentation for Knowledge Representation, Conflict Resolution, Defeasible Inference and Its Integration with Machine Learning
  11. Altmetric Badge
    Chapter 10 Machine Learning and Data Mining Methods for Managing Parkinson’s Disease
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    Chapter 11 Challenges of Medical Text and Image Processing: Machine Learning Approaches
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    Chapter 12 Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation
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    Chapter 13 A Master Pipeline for Discovery and Validation of Biomarkers
  15. Altmetric Badge
    Chapter 14 Machine Learning Solutions in Computer-Aided Medical Diagnosis
  16. Altmetric Badge
    Chapter 15 Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing
  17. Altmetric Badge
    Chapter 16 Network-Guided Biomarker Discovery
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    Chapter 17 Knowledge Discovery in Clinical Data
  19. Altmetric Badge
    Chapter 18 Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning
  20. Altmetric Badge
    Chapter 19 Convolutional Neural Networks Applied for Parkinson’s Disease Identification
  21. Altmetric Badge
    Chapter 20 Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives
  22. Altmetric Badge
    Chapter 21 Machine Learning for In Silico Modeling of Tumor Growth
  23. Altmetric Badge
    Chapter 22 A Tutorial on Machine Learning and Data Science Tools with Python
Attention for Chapter 13: A Master Pipeline for Discovery and Validation of Biomarkers
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

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33 Dimensions

Readers on

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13 Mendeley
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Chapter title
A Master Pipeline for Discovery and Validation of Biomarkers
Chapter number 13
Book title
Machine Learning for Health Informatics
Published in
Lecture notes in computer science, December 2016
DOI 10.1007/978-3-319-50478-0_13
Book ISBNs
978-3-31-950477-3, 978-3-31-950478-0
Authors

Sebastian J. Teran Hidalgo, Michael T. Lawson, Daniel J. Luckett, Monica Chaudhari, Jingxiang Chen, Arkopal Choudhury, Arianna Di Florio, Xiaotong Jiang, Crystal T. Nguyen, Michael R. Kosorok, Hidalgo, Sebastian J. Teran, Lawson, Michael T., Luckett, Daniel J., Chaudhari, Monica, Chen, Jingxiang, Choudhury, Arkopal, Florio, Arianna Di, Jiang, Xiaotong, Nguyen, Crystal T., Kosorok, Michael R.

Editors

Andreas Holzinger

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 31%
Student > Ph. D. Student 3 23%
Student > Doctoral Student 1 8%
Librarian 1 8%
Other 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 4 31%
Medicine and Dentistry 4 31%
Social Sciences 1 8%
Environmental Science 1 8%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2022.
All research outputs
#6,508,296
of 23,072,295 outputs
Outputs from Lecture notes in computer science
#2,115
of 8,145 outputs
Outputs of similar age
#120,009
of 420,381 outputs
Outputs of similar age from Lecture notes in computer science
#87
of 233 outputs
Altmetric has tracked 23,072,295 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,145 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 72% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 420,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 233 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.