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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
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    Chapter 3 Grammars for Discrete Dynamics
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    Chapter 4 Empowering Bridging Term Discovery for Cross-Domain Literature Mining in the TextFlows Platform
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    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
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    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
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    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
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    Chapter 14 Machine Learning Solutions in Computer-Aided Medical Diagnosis
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    Chapter 15 Processing Neurology Clinical Data for Knowledge Discovery: Scalable Data Flows Using Distributed Computing
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    Chapter 16 Network-Guided Biomarker Discovery
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    Chapter 17 Knowledge Discovery in Clinical Data
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    Chapter 18 Reasoning Under Uncertainty: Towards Collaborative Interactive Machine Learning
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    Chapter 19 Convolutional Neural Networks Applied for Parkinson’s Disease Identification
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    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 20: Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives
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Mentioned by

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1 tweeter

Citations

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28 Dimensions

Readers on

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107 Mendeley
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Chapter title
Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives
Chapter number 20
Book title
Machine Learning for Health Informatics
Published in
Lecture notes in computer science, December 2016
DOI 10.1007/978-3-319-50478-0_20
Book ISBNs
978-3-31-950477-3, 978-3-31-950478-0
Authors

André Calero Valdez, Martina Ziefle, Katrien Verbert, Alexander Felfernig, Andreas Holzinger

Editors

Andreas Holzinger

Twitter Demographics

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

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Luxembourg 1 <1%
Unknown 105 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 19 18%
Researcher 17 16%
Student > Ph. D. Student 17 16%
Student > Doctoral Student 9 8%
Student > Bachelor 5 5%
Other 16 15%
Unknown 24 22%
Readers by discipline Count As %
Computer Science 44 41%
Engineering 9 8%
Medicine and Dentistry 6 6%
Business, Management and Accounting 3 3%
Nursing and Health Professions 3 3%
Other 14 13%
Unknown 28 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 February 2017.
All research outputs
#6,858,323
of 9,000,236 outputs
Outputs from Lecture notes in computer science
#5,087
of 6,800 outputs
Outputs of similar age
#213,929
of 308,578 outputs
Outputs of similar age from Lecture notes in computer science
#129
of 167 outputs
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So far Altmetric has tracked 6,800 research outputs from this source. They receive a mean Attention Score of 4.0. This one is in the 15th percentile – i.e., 15% of its peers scored the same or lower than it.
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We're also able to compare this research output to 167 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.