Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke <i>Opisthorchis viverrini</i> (<i>OV</i>) Infection in Small Sub-Watersheds

Machine-Learning-Based Forest Classification and Regression (FCR) for Spatial Prediction of Liver Fluke <i>Opisthorchis viverrini</i> (<i>OV</i>) Infection in Small Sub-Watersheds

Infection of liver flukes (<i>Opisthorchis viverrini</i>) is partly due to their suitability for habitats in sub-basin areas, which causes the intermediate host to remain in the watershed system in all seasons. The spatial monitoring of fluke at the small basin scale is important because...

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Bibliographic Details
Main Authors: Benjamabhorn Pumhirunroj, Patiwat Littidej, Thidarut Boonmars, Kanokwan Bootyothee, Atchara Artchayasawat, Phusit Khamphilung, Donald Slack
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:ISPRS International Journal of Geo-Information
Subjects:
<i>Opisthorchis viverrini</i>
forest-based classification and regression
machine learning
ordinary least square
Online Access:https://www.mdpi.com/2220-9964/12/12/503

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