Islam MM - Search Results

1

Predicting the risk of diabetic retinopathy using explainable machine learning algorithms.

Islam MM, Rahman MJ, Rabby MS, Alam MJ, Pollob SMAI, Ahmed NAMF, Tawabunnahar M, Roy DC, Shin J, Maniruzzaman M. Islam MM, et al. Diabetes Metab Syndr. 2023 Dec;17(12):102919. doi: 10.1016/j.dsx.2023.102919. Epub 2023 Dec 4. Diabetes Metab Syndr. 2023. PMID: 38091881

2

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. 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

3

Improved Prediction of Protein-Protein Interaction Mapping on Homo Sapiens by Using Amino Acid Sequence Features in a Supervised Learning Framework.

Islam MM, Alam MJ, Ahmed FF, Hasan MM, Mollah MNH. Islam MM, et al. Protein Pept Lett. 2021;28(1):74-83. doi: 10.2174/0929866527666200610141258. Protein Pept Lett. 2021. PMID: 32520672

4

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. 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

5

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. Among authors: islam mm. 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

6

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: islam mt, islam mm. PLoS One. 2022 May 26;17(5):e0267190. doi: 10.1371/journal.pone.0267190. eCollection 2022. PLoS One. 2022. PMID: 35617201 Free PMC article.

7

Socioeconomic inequality in the prevalence of low birth weight and its associated determinants in Bangladesh.

Alam MJ, Islam MM, Maniruzzaman M, Ahmed NAMF, Tawabunnahar M, Rahman MJ, Roy DC, Mydam J. Alam MJ, et al. Among authors: islam mm. PLoS One. 2022 Oct 27;17(10):e0276718. doi: 10.1371/journal.pone.0276718. eCollection 2022. PLoS One. 2022. PMID: 36301890 Free PMC article.

8

Identification of the risk factors of type 2 diabetes and its prediction using machine learning techniques.

Islam MM, Rahman MJ, Menhazul Abedin M, Ahammed B, Ali M, Ahmed NAMF, Maniruzzaman M. Islam MM, et al. Health Syst (Basingstoke). 2022 Nov 5;12(2):243-254. doi: 10.1080/20476965.2022.2141141. eCollection 2023. Health Syst (Basingstoke). 2022. PMID: 37234468 Free PMC article.

9

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. PLoS One. 2023 Aug 24;18(8):e0289613. doi: 10.1371/journal.pone.0289613. eCollection 2023. PLoS One. 2023. PMID: 37616271 Free PMC article.

10

Prediction of undernutrition and identification of its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.

Islam MM, Kibria NMSJ, Kumar S, Roy DC, Karim MR. Islam MM, et al. PLoS One. 2024 Dec 6;19(12):e0315393. doi: 10.1371/journal.pone.0315393. eCollection 2024. PLoS One. 2024. PMID: 39642130 Free PMC article.

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