Title: Applications of Self-Organising Map (SOM) for prioritisation of endemic zones of filariasis in Andhra Pradesh, India

Authors: Upadhayula Suryanaryana Murty, Mutheneni Srinivasa Rao, K. Sriram, K. Madhusudha Rao

Addresses: Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad 500 007, Andhra Pradesh, India. ' Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad 500 007, Andhra Pradesh, India. ' Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad 500 007, Andhra Pradesh, India. ' Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad 500 007, Andhra Pradesh, India

Abstract: Entomological and epidemiological data of Lymphatic Filariasis (LF) was collected from 120 villages of four districts of Andhra Pradesh, India. Self-Organising Maps (SOMs), data-mining techniques, was used to classify and prioritise the endemic zones of filariasis. The results show that, SOMs classified all the villages into three major clusters by considering the data of Microfilaria (MF) rate, infection, infectivity rate and Per Man Hour (PMH). By considering the patterns of cluster, appropriate decision can be drawn for each parameter that is responsible for disease transmission of filariasis. Hence, SOM will certainly be a suitable tool for management of filariasis. The detailed application of SOM is discussed in this paper.

Keywords: lymphatic filariasis; data mining; SOMs; self-organising maps; prioritisation; India; endemic zones; microfilaria rate; infection; infectivity rate; disease transmission.

DOI: 10.1504/IJDMB.2011.041557

International Journal of Data Mining and Bioinformatics, 2011 Vol.5 No.4, pp.417 - 427

Published online: 24 Jan 2015 *

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