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Data Mining in Clinical Medicine

Overview of attention for book
Cover of 'Data Mining in Clinical Medicine'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Actigraphy pattern analysis for outpatient monitoring.
  3. Altmetric Badge
    Chapter 2 Definition of Loss Functions for Learning from Imbalanced Data to Minimize Evaluation Metrics
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    Chapter 3 Audit Method Suited for DSS in Clinical Environment.
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    Chapter 4 Incremental logistic regression for customizing automatic diagnostic models.
  6. Altmetric Badge
    Chapter 5 Using Process Mining for Automatic Support of Clinical Pathways Design
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    Chapter 6 Analyzing complex patients' temporal histories: new frontiers in temporal data mining.
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    Chapter 7 The Snow System: A Decentralized Medical Data Processing System
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    Chapter 8 Data Mining for Pulsing the Emotion on the Web
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    Chapter 9 Introduction on Health Recommender Systems
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    Chapter 10 Cloud Computing for Context-Aware Enhanced m-Health Services
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    Chapter 11 Analysis of Speech-Based Measures for Detecting and Monitoring Alzheimer’s Disease
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    Chapter 12 Applying Data Mining for the Analysis of Breast Cancer Data
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    Chapter 13 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
  15. Altmetric Badge
    Chapter 14 Data Analysis in Cardiac Arrhythmias
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    Chapter 15 Knowledge-Based Personal Health System to Empower Outpatients of Diabetes Mellitus by Means of P4 Medicine
  17. Altmetric Badge
    Chapter 16 Serious Games for Elderly Continuous Monitoring
Overall attention for this book and its chapters
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

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15 X users

Citations

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11 Dimensions

Readers on

mendeley
99 Mendeley
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Title
Data Mining in Clinical Medicine
Published by
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-1985-7
ISBNs
978-1-4939-1984-0, 978-1-4939-1985-7, 978-1-4939-5474-2
Authors

Fernandez-Llatas, Carlos, García-Gómez, Juan Miguel

Editors

Carlos Fernández-Llatas, Juan Miguel García-Gómez

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 1 1%
Canada 1 1%
Unknown 97 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 21%
Student > Master 16 16%
Student > Ph. D. Student 14 14%
Student > Bachelor 5 5%
Student > Doctoral Student 4 4%
Other 19 19%
Unknown 20 20%
Readers by discipline Count As %
Computer Science 25 25%
Medicine and Dentistry 12 12%
Engineering 10 10%
Neuroscience 3 3%
Agricultural and Biological Sciences 3 3%
Other 21 21%
Unknown 25 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 2017.
All research outputs
#4,200,950
of 25,452,734 outputs
Outputs from Methods in molecular biology
#1,025
of 14,193 outputs
Outputs of similar age
#54,525
of 359,851 outputs
Outputs of similar age from Methods in molecular biology
#62
of 998 outputs
Altmetric has tracked 25,452,734 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,193 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done particularly well, scoring higher than 92% 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 359,851 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 84% of its contemporaries.
We're also able to compare this research output to 998 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.