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1
Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network

Geospatial health, 2019-05, Vol.14 (1), p.53 [Peer Reviewed Journal]

2019. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2019.711 ;PMID: 31099515

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2
Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods
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Article
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Susceptibility mapping of visceral leishmaniasis based on fuzzy modelling and group decision-making methods

Geospatial health, 2012-11, Vol.7 (1), p.37-50 [Peer Reviewed Journal]

2012. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2012.103 ;PMID: 23242679

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3
Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran
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Article
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Environmental modelling of visceral leishmaniasis by susceptibility-mapping using neural networks: a case study in north-western Iran

Geospatial health, 2014-11, Vol.9 (1), p.179-191 [Peer Reviewed Journal]

2014. This work is published under http://creativecommons.org/licenses/by-nc/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1827-1987 ;ISSN: 1970-7096 ;EISSN: 1970-7096 ;DOI: 10.4081/gh.2014.15 ;PMID: 25545935

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