Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha-Reference-Cited by-同舟云学术

Determining suitable machine learning classifier technique for prediction of malaria incidents attributed to climate of Odisha

Published:2021-03-26 Issue: Volume: Page:1-17
ISSN:0960-3123
Container-title:International Journal of Environmental Health Research
language:en
Short-container-title:International Journal of Environmental Health Research

Author:

Mohapatra Pallavi¹,Tripathi N. K.¹,Pal Indrajit²,Shrestha Sangam³

Affiliation:

1. Remote Sensing and Geographic Information System, Asian Institute of Technology, Pathum Thani, Thailand

2. Disaster Preparedness Mitigation and Management, Asian Institute of Technology, Pathum Thani, Thailand

3. Water Engineering and Management, Asian Institute of Technology, Pathum Thani, Thailand

Funder

no funding

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/09603123.2021.1905782

Reference85 articles.

1. Modelling the effects of weather and climate on malaria distributions in West Africa

2. Atulbhai DK 2017. Comparision and combination of mining techniques for gene analysis to identify dengue.

3. [DCO] Directorate of Census Operations, Odisha. District Census Handbook, Sundargarh. SERIES-22. 2011. [Accessed 2020 17 April]. https://censusindia.gov.in/2011census/dchb/2105_PART_B_DCHB_SUNDARGARH.pdf.

4. Artificial neural networks: fundamentals, computing, design, and application

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