title: Applications of Self-Organising Map (SOM) for prioritisation of endemic zones of filariasis in 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.
authors.affiliation: Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology (CSIR), Tarnaka, Hyderabad 500 007, Andhra Pradesh, India. murty_usn@yahoo.com
authors.forename: Upadhayula Suryanaryana
authors.initials: US
authors.lastname: Murty
authors.forename: Mutheneni Srinivasa
authors.initials: MS
authors.lastname: Rao
authors.forename: K
authors.initials: K
authors.lastname: Sriram
authors.forename: K Madhusudhan
authors.initials: KM
authors.lastname: Rao
mesh_terms: D000465:Algorithms; D000818:Animals; D016000:Cluster Analysis; D004605:Elephantiasis, Filarial / Q000453:epidemiology* / Q000635:transmission; D019353:Endemic Diseases; D006801:Humans; D007194:India / Q000453:epidemiology; D015995:Prevalence