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References from Unraveling the drivers of leptospirosis risk in Thailand using machine learning. Local targets link to admitted publications; unresolved targets remain external evidence.
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10.1371/journal.pntd.0003898 · 2015 · External reference
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2012 · External reference
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10.4269/ajtmh.21-1102 · 2022 · External reference
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10.3390/pathogens12091167 · 2023 · External reference
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10.1128/cmr.14.2.296-326.2001 · 2001 · External reference
Spatial–temporal patterns and risk factors for human leptospirosis in Thailand, 2012–2018
10.1038/s41598-022-09079-y · 2022 · External reference
Unraveling the invisible leptospirosis in mainland Southeast Asia and its fate under climate change
10.1016/j.scitotenv.2022.155018 · 2022 · External reference
Environmental and Behavioural Determinants of Leptospirosis Transmission: A Systematic Review
10.1371/journal.pntd.0003843 · 2015 · External reference
Mapping risk of leptospirosis in China using environmental and socioeconomic data
10.1186/s12879-016-1653-5 · 2016 · External reference
Relation of rainfall pattern and epidemic leptospirosis in the Indian state of Kerala
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Urban flooding and risk of leptospirosis; Pakistan on the verge of a new disaster: A call for action
10.1016/j.ijheh.2022.114081 · 2023 · External reference
Human Leptospirosis Infection in Fiji: An Eco-epidemiological Approach to Identifying Risk Factors and Environmental Drivers for Transmission
2016 · External reference
Regional differences of leptospirosis in Sri Lanka: observations from a flood-associated outbreak in 2011
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Modeling the dynamics of leptospirosis in India
10.1038/s41598-023-46326-2 · 2023 · External reference
The effects of flooding and weather conditions on leptospirosis transmission in Thailand
10.1038/s41598-020-79546-x · 2021 · External reference
Mathematical Modeling towards the Dynamical Interaction of Leptospirosis
10.12785/amis/080314 · 2014 · External reference
Environmental risk of leptospirosis infections in the Netherlands: Spatial modelling of environmental risk factors of leptospirosis in the Netherlands
2017 · External reference
Climate variability, satellite-derived physical environmental data and human leptospirosis: A retrospective ecological study in China
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Using Tree-Based Machine Learning for Health Studies: Literature Review and Case Series
10.3390/ijerph192316080 · 2022 · External reference
Gene expression value prediction based on XGBoost algorithm
2019 · External reference
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10.1007/s10462-021-10088-y · 2021 · External reference
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10.1002/widm.1424 · 2021 · External reference
From Local Explanations to Global Understanding with Explainable AI for Trees
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Artificial intelligence to predict West Nile virus outbreaks with eco-climatic drivers
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2024 · External reference
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Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost
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High-Efficiency Machine Learning Method for Identifying Foodborne Disease Outbreaks and Confounding Factors
10.1089/fpd.2020.2913 · 2021 · External reference
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A review of feature selection methods in medical applications
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Boosting feature selection for Neural Network based regression
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Recent changes in rice production in rainfed lowland and irrigated ecosystems in Thailand
10.1080/1343943x.2020.1787182 · 2020 · External reference
Human, animal, water source interactions and leptospirosis in Thailand
10.1038/s41598-021-82290-5 · 2021 · External reference
Leptospirosis in Rio Grande do Sul, Brazil: An Ecosystem Approach in the Animal-Human Interface
10.1371/journal.pntd.0004095 · 2015 · External reference
A Case-Control Study of Environmental and Occupational Risks of Leptospirosis in Sri Lanka
10.1007/s10393-019-01448-w · 2019 · External reference
Environmental and Occupational Factors Associated with Leptospirosis: A Systematic Review
10.1016/j.heliyon.2023.e23473 · 2023 · External reference
The impact of climate on Leptospirosis in São Paulo, Brazil
10.1007/s00484-011-0419-4 · 2012 · External reference
Rainfall and other meteorological factors as drivers of urban transmission of leptospirosis
10.1371/journal.pntd.0007507 · 2022 · External reference
Climate change, flooding, urbanisation and leptospirosis: fuelling the fire?
10.1016/j.trstmh.2010.07.002 · 2010 · External reference
Spatio-temporal patterns of leptospirosis in Thailand: is flooding a risk factor?
10.1017/s0950268815000205 · 2015 · External reference
Reconstruction of the transmission dynamics of the first COVID-19 epidemic wave in Thailand
10.1038/s41598-022-06008-x · 2022 · External reference
The impact of COVID-19 and control measures on public health in Thailand, 2020
10.7717/peerj.12960 · 2022 · External reference
Leptospirosis outbreak in Tanzania amidst COVID-19 pandemic: current challenges and future recommendations
10.1097/js9.0000000000000124 · 2023 · External reference
Neglecting the neglected during the COVID-19 pandemic: the case of leptospirosis in Sri Lanka
10.4178/epih.e2022015 · 2022 · External reference
Re-emerging zoonotic disease Leptospirosis in Tanzania amid the ongoing COVID-19 pandemic: Needs attention - Correspondence
10.1016/j.ijsu.2022.106984 · 2022 · External reference
Neglecting the neglected during the COVID-19 pandemic: the case of leptospirosis in Sri Lanka
10.4178/epih.e2022015 · 2022 · External reference
Unresolved reference
2022 · External reference
A systematic review on imbalanced data challenges in machine learning: applications and solutions
10.1145/3343440 · 2019 · External reference
What Is the Impact of Lockdowns on Dengue?
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