Machine Learning and Meta-Analysis Approach to Identify Patient Comorbidities and Symptoms that Increased Risk of Mortality in COVID-19. - Sakifa Aktar; Ashis Talukder; Md. Martuza Ahamad; A. H. M. Kamal; Jahidur Rahman Khan; Md. Protikuzzaman; Nasif Hossain; Julian M. W. Quinn; Matthew A. Summers; Teng Liaw; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

Predicting Patient COVID-19 Disease Severity by means of Statistical and Machine Learning Analysis of Blood Cell Transcriptome Data. - Sakifa Aktar; Md. Martuza Ahamad; Md Rashed-Al-Mahfuz; A. K. M. Azad; Shahadat Uddin; A. H. M. Kamal; Salem A. Alyami; Ping-I Lin; Sheikh Mohammed Shariful Islam; Julian M. W. Quinn; Valsamma Eapen; Mohammad Ali Moni (CoRR, 2020)

A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients. - Md. Martuza Ahamad; Sakifa Aktar; Md Rashed-Al-Mahfuz; Shahadat Uddin; Pietro Liò; Haoming Xu; Matthew A. Summers; Julian M. W. Quinn; Mohammad Ali Moni (Expert Syst. Appl., 2020)

An Integrated Statistical and Clinically Applicable Machine Learning Framework for the Detection of Autism Spectrum Disorder. - Md. Jamal Uddin; Md. Martuza Ahamad; Prodip Kumar Sarker; Sakifa Aktar; Naif Mohammed Alotaibi; Salem A. Alyami; Muhammad Ashad Kabir; Mohammad Ali Moni (Comput., 2023)

A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh. - Md. Jamal Uddin; Md. Martuza Ahamad; Md. Nesarul Hoque; Md. Abul Ala Walid; Sakifa Aktar; Naif Mohammed Alotaibi; Salem A. Alyami; Muhammad Ashad Kabir; Mohammad Ali Moni (Inf., 2023)

Exploring transformer models in the sentiment analysis task for the under-resource Bengali language. - Md. Nesarul Hoque; Umme Salma; Md. Jamal Uddin; Md. Martuza Ahamad; Sakifa Aktar (Nat. Lang. Process. J., 2024)