↓ Skip to main content

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
  8. Altmetric Badge
    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
  10. Altmetric Badge
    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
  12. Altmetric Badge
    Chapter 11 Challenges of Medical Text and Image Processing: Machine Learning Approaches
  13. Altmetric Badge
    Chapter 12 Visual Intelligent Decision Support Systems in the Medical Field: Design and Evaluation
  14. Altmetric Badge
    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
  18. Altmetric Badge
    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 16: Network-Guided Biomarker Discovery
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
14 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
24 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
Network-Guided Biomarker Discovery
Chapter number 16
Book title
Machine Learning for Health Informatics
Published in
Lecture notes in computer science, December 2016
DOI 10.1007/978-3-319-50478-0_16
Book ISBNs
978-3-31-950477-3, 978-3-31-950478-0
Authors

Chloé-Agathe Azencott

Editors

Andreas Holzinger

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 4%
France 1 4%
Taiwan 1 4%
Unknown 21 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 42%
Student > Bachelor 4 17%
Researcher 3 13%
Other 1 4%
Student > Master 1 4%
Other 1 4%
Unknown 4 17%
Readers by discipline Count As %
Computer Science 7 29%
Biochemistry, Genetics and Molecular Biology 3 13%
Mathematics 3 13%
Medicine and Dentistry 2 8%
Agricultural and Biological Sciences 1 4%
Other 4 17%
Unknown 4 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 16 December 2021.
All research outputs
#4,255,934
of 23,653,937 outputs
Outputs from Lecture notes in computer science
#972
of 8,154 outputs
Outputs of similar age
#81,160
of 423,070 outputs
Outputs of similar age from Lecture notes in computer science
#44
of 233 outputs
Altmetric has tracked 23,653,937 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,154 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 88% 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 423,070 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% 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 done well, scoring higher than 81% of its contemporaries.