| Machine learning to predict pregnancy outcomes: a systematic review, synthesizing framework and future research agenda MN Islam, SN Mustafina, T Mahmud, NI Khan BMC pregnancy and childbirth 22 (1), 348, 2022 | 40 | 2022 |
| Prediction of cesarean childbirth using ensemble machine learning methods NI Khan, T Mahmud, MN Islam, SN Mustafina Proceedings of the 22nd international conference on information integration …, 2020 | 34 | 2020 |
| Exploring machine learning algorithms to find the best features for predicting modes of childbirth MN Islam, T Mahmud, NI Khan, SN Mustafina, AKMN Islam IEEE Access 9, 1680-1692, 2020 | 29 | 2020 |
| COVID‐19 and black fungus: Analysis of the public perceptions through machine learning N Imtiaz Khan, T Mahmud, M Nazrul Islam Engineering Reports 4 (4), e12475, 2022 | 16 | 2022 |
| FarmEasy: An intelligent platform to empower crops prediction and crops marketing M Ishak, MS Rahaman, T Mahmud 2021 13th International Conference on Information & Communication Technology …, 2021 | 13 | 2021 |
| Integrating cloud computing in e-healthcare: System design, implementation and significance in context of developing countries M Ishak, R Rahman, T Mahmud 2021 5th International Conference on Electrical Engineering and Information …, 2021 | 6 | 2021 |
| COVID-19 and Black Fungus: Analysis of the Public Perception through Machine Learning (preprint) MN Islam, NI Khan, T Mahmud | | 2021 |
