Maniruzzaman M - Search Results

1

Identification of key candidate genes for IgA nephropathy using machine learning and statistics based bioinformatics models.

Al Mehedi Hasan M, Maniruzzaman M, Shin J. Al Mehedi Hasan M, et al. Among authors: maniruzzaman m. Sci Rep. 2022 Aug 17;12(1):13963. doi: 10.1038/s41598-022-18273-x. Sci Rep. 2022. PMID: 35978028 Free PMC article.

2

Accurate Diabetes Risk Stratification Using Machine Learning: Role of Missing Value and Outliers.

Maniruzzaman M, Rahman MJ, Al-MehediHasan M, Suri HS, Abedin MM, El-Baz A, Suri JS. Maniruzzaman M, et al. J Med Syst. 2018 Apr 10;42(5):92. doi: 10.1007/s10916-018-0940-7. J Med Syst. 2018. PMID: 29637403 Free PMC article.

3

Risk prediction of diabetic nephropathy using machine learning techniques: A pilot study with secondary data.

Maniruzzaman M, Islam MM, Rahman MJ, Hasan MAM, Shin J. Maniruzzaman M, et al. Diabetes Metab Syndr. 2021 Sep-Oct;15(5):102263. doi: 10.1016/j.dsx.2021.102263. Epub 2021 Aug 28. Diabetes Metab Syndr. 2021. PMID: 34482122

4

Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.

Hasan MAM, Maniruzzaman M, Shin J. Hasan MAM, et al. Among authors: maniruzzaman m. Sci Rep. 2023 Mar 7;13(1):3771. doi: 10.1038/s41598-023-30851-1. Sci Rep. 2023. PMID: 36882493 Free PMC article.

5

Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms.

Maniruzzaman M, Jahanur Rahman M, Ahammed B, Abedin MM, Suri HS, Biswas M, El-Baz A, Bangeas P, Tsoulfas G, Suri JS. Maniruzzaman M, et al. Comput Methods Programs Biomed. 2019 Jul;176:173-193. doi: 10.1016/j.cmpb.2019.04.008. Epub 2019 Apr 10. Comput Methods Programs Biomed. 2019. PMID: 31200905

6

Automated detection and classification of diabetes disease based on Bangladesh demographic and health survey data, 2011 using machine learning approach.

Islam MM, Rahman MJ, Chandra Roy D, Maniruzzaman M. Islam MM, et al. Among authors: maniruzzaman m. Diabetes Metab Syndr. 2020 May-Jun;14(3):217-219. doi: 10.1016/j.dsx.2020.03.004. Epub 2020 Mar 10. Diabetes Metab Syndr. 2020. PMID: 32193086

7

Machine learning algorithm for characterizing risks of hypertension, at an early stage in Bangladesh.

Islam MM, Rahman MJ, Chandra Roy D, Tawabunnahar M, Jahan R, Ahmed NAMF, Maniruzzaman M. Islam MM, et al. Among authors: maniruzzaman m. Diabetes Metab Syndr. 2021 May-Jun;15(3):877-884. doi: 10.1016/j.dsx.2021.03.035. Epub 2021 Apr 20. Diabetes Metab Syndr. 2021. PMID: 33892404

8

Investigate the risk factors of stunting, wasting, and underweight among under-five Bangladeshi children and its prediction based on machine learning approach.

Rahman SMJ, Ahmed NAMF, Abedin MM, Ahammed B, Ali M, Rahman MJ, Maniruzzaman M. Rahman SMJ, et al. Among authors: maniruzzaman m. PLoS One. 2021 Jun 17;16(6):e0253172. doi: 10.1371/journal.pone.0253172. eCollection 2021. PLoS One. 2021. PMID: 34138925 Free PMC article.

9

Predicting risks of low birth weight in Bangladesh with machine learning.

Islam Pollob SMA, Abedin MM, Islam MT, Islam MM, Maniruzzaman M. Islam Pollob SMA, et al. Among authors: maniruzzaman m. PLoS One. 2022 May 26;17(5):e0267190. doi: 10.1371/journal.pone.0267190. eCollection 2022. PLoS One. 2022. PMID: 35617201 Free PMC article.

10

Predicting the risk of hypertension using machine learning algorithms: A cross sectional study in Ethiopia.

Islam MM, Alam MJ, Maniruzzaman M, Ahmed NAMF, Ali MS, Rahman MJ, Roy DC. Islam MM, et al. Among authors: maniruzzaman m. PLoS One. 2023 Aug 24;18(8):e0289613. doi: 10.1371/journal.pone.0289613. eCollection 2023. PLoS One. 2023. PMID: 37616271 Free PMC article.

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