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A Diagnosis System for Multi class Primary Headaches using Ant Miner plus Algorithm
Nissankara Lakshmi Prasanna1, Pujari Jeevana Jyothi2, Nallamekala Rajeswari3, R Tejaswini4

1Nissankara Lakshmi Prasanna, Assoc. prof, dept. of Computer Science & Engineering, Vasireddy Venkatadri Institute of Technology, Guntur (A.P), India.
2Pujari Jeevana Jyothi, Assoc. prof, dept. of Computer Science & Engineering, Vasireddy Venkatadri Institute of Technology, Guntur(A.P), India.
3Nallamekala Rajeswari, Asst. prof, dept. of Computer Science & Engineering Vasireddy Venkatadri Institute of Technology, Guntur (A.P), India.
4R Tejaswini, Asst. prof, dept. of Electronics & Communications Engineering, Vasireddy Venkatadri Institute of Technology, Guntur (A.P), India.

Manuscript received on 24 September 2018 | Revised Manuscript received on 30 September 2018 | Manuscript published on 30 November 2018 | PP: 241-245 | Volume-7 Issue-4, November 2018 | Retrieval Number: E1837017519©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This article proposes a diagnosis system for dealing with primary headache classification using variant of ant colony optimization algorithm for classification. The diagnosis system proposed is an expert system completely designed with information gathered from patients suffering from headaches. Randomly chosen patients who are visiting various hospitals in India are addressed to collect data for expert system. They are provided with detailed questionnaire about the symptoms to analyze the headache types. With help of neurologist the headaches are compared with the results of ant colony optimization algorithms for classification. Ant miner plus algorithm is enforced for better results. The algorithm is observed for its accuracy levels of classification and is analyzed. This article addresses 4 types of headaches as multi-class classification problem with an in detailed report of symptoms gathered from patients. This kind of expert system is useful to neurologists to track symptoms of their patients and to provide mediation.
Keywords: Primary headaches, ant Colony optimization, Diagnosis system, Ant miner plus algorithm, Multi-class Classification problem.

Scope of the Article: Classification