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)

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)

Gene expression profiling of SARS-CoV-2 infections reveal distinct primary lung cell and systemic immune infection responses that identify pathways relevant in COVID-19 disease. - Mohammad Ali Moni; Julian M. W. Quinn; Nese Sinmaz; Matthew A. Summers (Briefings Bioinform., 2021)

Pathogenetic profiling of COVID-19 and SARS-like viruses. - Zulkar Nain; Humayan Kabir Rana; Pietro Liò; Sheikh Mohammed Shariful Islam; Matthew A. Summers; Mohammad Ali Moni (Briefings Bioinform., 2021)

TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. - Md. Shahriare Satu; Md. Imran Khan; Mufti Mahmud; Shahadat Uddin; Matthew A. Summers; Julian M. W. Quinn; Mohammad Ali Moni (Knowl. Based Syst., 2021)