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Voronoi Diagram and Microstructure of Weldment Read chapter Read first chapter

2015 | OriginalPaper | Chapter

67. An Application of Ant Colony Optimization Clustering Approach for Primary Headache Diagnosis

Authors : Wu Yanping, Duan Huilong

Published in: Ubiquitous Computing Application and Wireless Sensor

Publisher: Springer Netherlands

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Abstract

In this study, an Ant Colony Optimization (ACO) clustering approach is proposed for medical diagnosis to assign patients into different primary headache groups with Visual C++ program. By experiments, 375 patients were classified into Migraine, Tension-Type Headache (TTH) and Trigeminal Autonomic Cephalalgias (TACs). Results show that the clustering algorithm with ant colony can be important supportive for the medical experts in diagnostic.

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Metadata
Title
An Application of Ant Colony Optimization Clustering Approach for Primary Headache Diagnosis
Authors
Wu Yanping
Duan Huilong
Copyright Year
2015
Publisher
Springer Netherlands
Book
Ubiquitous Computing Application and Wireless Sensor

Print ISBN: 978-94-017-9617-0

Electronic ISBN: 978-94-017-9618-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-94-017-9618-7_67