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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
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    Chapter 1 Actigraphy pattern analysis for outpatient monitoring.
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    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.
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    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
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    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
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    Chapter 16 Serious Games for Elderly Continuous Monitoring
Attention for Chapter 12: Applying Data Mining for the Analysis of Breast Cancer Data
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Citations

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Chapter title
Applying Data Mining for the Analysis of Breast Cancer Data
Chapter number 12
Book title
Data Mining in Clinical Medicine
Published in
Methods in molecular biology, November 2014
DOI 10.1007/978-1-4939-1985-7_12
Pubmed ID
25417087
Book ISBNs
978-1-4939-1984-0, 978-1-4939-1985-7
Authors

Der-Ming Liou, Wei-Pin Chang

Editors

Carlos Fernández-Llatas, Juan Miguel García-Gómez

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
Canada 1 2%
Unknown 48 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 22%
Student > Master 7 14%
Student > Doctoral Student 5 10%
Researcher 5 10%
Lecturer 4 8%
Other 5 10%
Unknown 13 26%
Readers by discipline Count As %
Computer Science 11 22%
Medicine and Dentistry 10 20%
Biochemistry, Genetics and Molecular Biology 6 12%
Nursing and Health Professions 2 4%
Mathematics 1 2%
Other 5 10%
Unknown 15 30%

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