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Machine Learning and Its Applications

Overview of attention for book
Cover of 'Machine Learning and Its Applications'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts
  3. Altmetric Badge
    Chapter 2 Learning Patterns in Noisy Data: The AQ Approach
  4. Altmetric Badge
    Chapter 3 Unsupervised Learning of Probabilistic Concept Hierarchies
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    Chapter 4 Function Decomposition in Machine Learning
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    Chapter 5 How to Upgrade Propositional Learners to First Order Logic: A Case Study
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    Chapter 6 Case-Based Reasoning
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    Chapter 7 Genetic Algorithms in Machine Learning
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    Chapter 8 Pattern Recognition and Neural Networks
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    Chapter 9 Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications
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    Chapter 10 Integrated Architectures for Machine Learning
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    Chapter 11 The Computational Support of Scientic Discovery
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    Chapter 12 Support Vector Machines: Theory and Applications
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    Chapter 13 Pre- and Post-processing in Machine Learning and Data Mining
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    Chapter 14 Machine Learning in Human Language Technology
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    Chapter 15 Machine Learning for Intelligent Information Access
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    Chapter 16 Machine Learning and Intelligent Agents
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    Chapter 17 Machine Learning in User Modeling
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    Chapter 18 Data Mining in Economics, Finance, and Marketing
  20. Altmetric Badge
    Chapter 19 Machine Learning in Medical Applications
  21. Altmetric Badge
    Chapter 20 Machine Learning Applications to Power Systems
  22. Altmetric Badge
    Chapter 21 Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications
Attention for Chapter 19: Machine Learning in Medical Applications
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Mentioned by

twitter
1 X user
facebook
1 Facebook page

Citations

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40 Dimensions

Readers on

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206 Mendeley
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Chapter title
Machine Learning in Medical Applications
Chapter number 19
Book title
Machine Learning and Its Applications
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/3-540-44673-7_19
Book ISBNs
978-3-54-042490-1, 978-3-54-044673-6
Authors

George D. Magoulas, Andriana Prentza

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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Colombia 1 <1%
Pakistan 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Italy 1 <1%
Unknown 198 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 18%
Student > Master 31 15%
Student > Bachelor 30 15%
Researcher 18 9%
Student > Doctoral Student 8 4%
Other 30 15%
Unknown 52 25%
Readers by discipline Count As %
Computer Science 83 40%
Engineering 26 13%
Medicine and Dentistry 9 4%
Agricultural and Biological Sciences 4 2%
Biochemistry, Genetics and Molecular Biology 4 2%
Other 20 10%
Unknown 60 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 February 2018.
All research outputs
#14,792,641
of 22,775,504 outputs
Outputs from Lecture notes in computer science
#4,540
of 8,124 outputs
Outputs of similar age
#224,028
of 400,589 outputs
Outputs of similar age from Lecture notes in computer science
#347
of 531 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
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 400,589 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 531 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.