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Year | Number of Results |
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2020 | 1 |
2022 | 2 |
2023 | 1 |
2024 | 1 |
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Page 1
A data-driven eXtreme gradient boosting machine learning model to predict COVID-19 transmission with meteorological drivers.
PLoS One. 2022 Sep 13;17(9):e0273319. doi: 10.1371/journal.pone.0273319. eCollection 2022.
PLoS One. 2022.
PMID: 36099253
Free PMC article.
Accuracy comparison of ARIMA and XGBoost forecasting models in predicting the incidence of COVID-19 in Bangladesh.
Rahman MS, Chowdhury AH, Amrin M.
Rahman MS, et al. Among authors: chowdhury ah.
PLOS Glob Public Health. 2022 May 18;2(5):e0000495. doi: 10.1371/journal.pgph.0000495. eCollection 2022.
PLOS Glob Public Health. 2022.
PMID: 36962227
Free PMC article.
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A tree based eXtreme Gradient Boosting (XGBoost) machine learning model to forecast the annual rice production in Bangladesh.
Noorunnahar M, Chowdhury AH, Mila FA.
Noorunnahar M, et al. Among authors: chowdhury ah.
PLoS One. 2023 Mar 27;18(3):e0283452. doi: 10.1371/journal.pone.0283452. eCollection 2023.
PLoS One. 2023.
PMID: 36972270
Free PMC article.
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COVID-19 Epidemic in Bangladesh among Rural and Urban Residents: An Online Cross-Sectional Survey of Knowledge, Attitudes, and Practices.
Rahman MS, Karamehic-Muratovic A, Amrin M, Chowdhury AH, Mondol MS, Haque U, Ali P.
Rahman MS, et al. Among authors: chowdhury ah.
Epidemiologia (Basel). 2020 Dec 22;2(1):1-13. doi: 10.3390/epidemiologia2010001.
Epidemiologia (Basel). 2020.
PMID: 36417185
Free PMC article.
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Predicting anxiety, depression, and insomnia among Bangladeshi university students using tree-based machine learning models.
Chowdhury AH, Rad D, Rahman MS.
Chowdhury AH, et al.
Health Sci Rep. 2024 Apr 21;7(4):e2037. doi: 10.1002/hsr2.2037. eCollection 2024 Apr.
Health Sci Rep. 2024.
PMID: 38650723
Free PMC article.
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