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2021 Journal Article Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019GBD 2019 HIV Collaborators, Sinshaw, Aklilu and Moni, Mohammad Ali (2021). Global, regional, and national sex-specific burden and control of the HIV epidemic, 1990-2019, for 204 countries and territories: the Global Burden of Diseases Study 2019. The Lancet HIV, 8 (10), e633-e651. doi: 10.1016/S2352-3018(21)00152-1 |
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2021 Journal Article Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipelineIslam, Md Nahidul, Sulaiman, Norizam, Farid, Fahmid Al, Uddin, Jia, Alyami, Salem A., Rashid, Mamunur, Majeed, Anwar P. P. Abdul and Moni, Mohammad Ali (2021). Diagnosis of hearing deficiency using EEG based AEP signals: CWT and improved-VGG16 pipeline. PeerJ Computer Science, 7 e638, 1-28. doi: 10.7717/peerj-cs.638 |
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2021 Journal Article Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019GBD 2019 Under-5 Mortality Collaborators, Mamun, Abdullah A., Lalloo, Ratilal, Anderlini, Deanna, McGrath, John, Uddin, Riaz and Moni, Mohammad Ali (2021). Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burden of Disease Study 2019. The Lancet, 398 (10303), 870-905. doi: 10.1016/S0140-6736(21)01207-1 |
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2021 Journal Article Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19Auwul, Md Rabiul, Rahman, Md Rezanur, Gov, Esra, Shahjaman, Md and Moni, Mohammad Ali (2021). Bioinformatics and machine learning approach identifies potential drug targets and pathways in COVID-19. Briefings in Bioinformatics, 22 (5) bbab120. doi: 10.1093/bib/bbab120 |
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2021 Journal Article Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparisonAli, Md Mamun, Paul, Bikash Kumar, Ahmed, Kawsar, Bui, Francis M., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison. Computers in Biology and Medicine, 136 104672, 104672. doi: 10.1016/j.compbiomed.2021.104672 |
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2021 Journal Article Recognition of human emotions using EEG signals: A reviewRahman, Md. Mustafizur, Sarkar, Ajay Krishno, Hossain, Md. Amzad, Hossain, Md. Selim, Islam, Md. Rabiul, Hossain, Md. Biplob, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Recognition of human emotions using EEG signals: A review. Computers in Biology and Medicine, 136 104696, 104696. doi: 10.1016/j.compbiomed.2021.104696 |
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2021 Conference Publication Lung cancer prediction using curriculum learning based deep neural networksZhou, Jackson, Khushi, Matloob, Moni, Mohammad Ali, Uddin, Shahadat and Poon, Simon K. (2021). Lung cancer prediction using curriculum learning based deep neural networks. 2021 IEEE International Conference on Digital Health (ICDH), Chicago, IL USA, 5-10 September 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDH52753.2021.00013 |
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2021 Journal Article Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progressionRahman, Md Habibur, Rana, Humayan Kabir, Peng, Silong, Hu, Xiyuan, Chen, Chen, Quinn, Julian M. W and Moni, Mohammad Ali (2021). Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression. Briefings in Bioinformatics, 22 (5) bbaa365. doi: 10.1093/bib/bbaa365 |
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2021 Journal Article EEG channel correlation based model for emotion recognitionIslam, Md. Rabiul, Islam, Md. Milon, Rahman, Md. Mustafizur, Mondal, Chayan, Singha, Suvojit Kumar, Ahmad, Mohiuddin, Awal, Abdul, Islam, Md. Saiful and Moni, Mohammad Ali (2021). EEG channel correlation based model for emotion recognition. Computers in Biology and Medicine, 136 104757, 104757. doi: 10.1016/j.compbiomed.2021.104757 |
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2021 Journal Article Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patientsMahmud, S. M. Hasan, Al-Mustanjid, Md, Akter, Farzana, Rahman, Md Shazzadur, Ahmed, Kawsar, Rahman, Md Habibur, Chen, Wenyu and Moni, Mohammad Ali (2021). Bioinformatics and system biology approach to identify the influences of SARS-CoV-2 infections to idiopathic pulmonary fibrosis and chronic obstructive pulmonary disease patients. Briefings in Bioinformatics, 22 (5) bbab115. doi: 10.1093/bib/bbab115 |
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2021 Journal Article Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetesIslam, M. Babul, Chowdhury, Utpala Nanda, Nain, Zulkar, Uddin, Shahadat, Ahmed, Mohammad Boshir and Moni, Mohammad Ali (2021). Identifying molecular insight of synergistic complexities for SARS-CoV-2 infection with pre-existing type 2 diabetes. Computers in Biology and Medicine, 136 104668, 104668. doi: 10.1016/j.compbiomed.2021.104668 |
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2021 Journal Article Covid-19 pandemic outbreak in the subcontinent: A data driven analysisSingh, Bikash Chandra, Alom, Zulfikar, Hu, Haibo, Rahman, Mohammad Muntasir, Baowaly, Mrinal Kanti, Aung, Zeyar, Azim, Mohammad Abdul and Moni, Mohammad Ali (2021). Covid-19 pandemic outbreak in the subcontinent: A data driven analysis. Journal of Personalized Medicine, 11 (9) 889, 889. doi: 10.3390/jpm11090889 |
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2021 Journal Article PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniquesMahmud, S. M. Hasan, Chen, Wenyu, Liu, Yongsheng, Awal, Md Abdul, Ahmed, Kawsar, Rahman, Md Habibur and Moni, Mohammad Ali (2021). PreDTIs: Prediction of drug-Target interactions based on multiple feature information using gradient boosting framework with data balancing and feature selection techniques. Briefings in Bioinformatics, 22 (5) bbab046. doi: 10.1093/bib/bbab046 |
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2021 Journal Article COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancingHasan, Md. Kamrul, Jawad, Md. Tasnim, Hasan, Kazi Nasim Imtiaz, Partha, Sajal Basak, Masba, Md. Masum Al, Saha, Shumit and Moni, Mohammad Ali (2021). COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing. Informatics in Medicine Unlocked, 26 100709, 100709. doi: 10.1016/j.imu.2021.100709 |
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2021 Journal Article Ibitter‐fuse: a novel sequence‐based bitter peptide predictor by fusing multi‐view featuresCharoenkwan, Phasit, Nantasenamat, Chanin, Hasan, Md. Mehedi, Moni, Mohammad Ali, Lio, Pietro and Shoombuatong, Watshara (2021). Ibitter‐fuse: a novel sequence‐based bitter peptide predictor by fusing multi‐view features. International Journal of Molecular Sciences, 22 (16) 8958, 8958. doi: 10.3390/ijms22168958 |
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2021 Journal Article TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweetsSatu, Md. Shahriare, Khan, Md. Imran, Mahmud, Mufti, Uddin, Shahadat, Summers, Matthew A., Quinn, Julian M.W. and Moni, Mohammad Ali (2021). TClustVID: A novel machine learning classification model to investigate topics and sentiment in COVID-19 tweets. Knowledge-Based Systems, 226 107126, 107126. doi: 10.1016/j.knosys.2021.107126 |
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2021 Journal Article Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory StudyNichols, Emma, Abd-Allah, Foad, Abdoli, Amir, Abualhasan, Ahmed, Abu-Gharbieh, Eman, Afshin, Ashkan, Akinyemi, Rufus Olusola, Alanezi, Fahad Mashhour, Alipour, Vahid, Almasi-Hashiani, Amir, Arabloo, Jalal, Ashraf-Ganjouei, Amir, Ayano, Getinet, Ayuso-Mateos, Jose L., Baig, Atif Amin, Banach, Maciej, Barboza, Miguel A., Barker-Collo, Suzanne Lyn, Baune, Bernhard T., Bhagavathula, Akshaya Srikanth, Bhattacharyya, Krittika, Bijani, Ali, Biswas, Atanu, Boloor, Archith, Brayne, Carol, Brenner, Hermann, Burkart, Katrin, Burugina Nagaraja, Sharath, Carvalho, Felix ... Vos, Theo (2021). Use of multidimensional item response theory methods for dementia prevalence prediction: an example using the Health and Retirement Survey and the Aging, Demographics, and Memory Study. BMC Medical Informatics and Decision Making, 21 (1) 241. doi: 10.1186/s12911-021-01590-y |
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2021 Journal Article Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1Galles, Natalie C, Liu, Patrick Y, Updike, Rachel L, Fullman, Nancy, Nguyen, Jason, Rolfe, Sam, Sbarra, Alyssa N, Schipp, Megan F, Marks, Ashley, Abady, Gdiom Gebreheat, Abbas, Kaja M, Abbasi, Sumra Wajid, Abbastabar, Hedayat, Abd-Allah, Foad, Abdoli, Amir, Abolhassani, Hassan, Abosetugn, Akine Eshete, Adabi, Maryam, Adamu, Abdu A, Adetokunboh, Olatunji O, Adnani, Qorinah Estiningtyas Sakilah, Advani, Shailesh M, Afzal, Saira, Aghamir, Seyed Mohammad Kazem, Ahinkorah, Bright Opoku, Ahmad, Sohail, Ahmad, Tauseef, Ahmadi, Sepideh, Ahmed, Haroon ... Yuce, D. (2021). Measuring routine childhood vaccination coverage in 204 countries and territories, 1980–2019: a systematic analysis for the Global Burden of Disease Study 2020, Release 1. The Lancet, 398 (10299), 503-521. doi: 10.1016/S0140-6736(21)00984-3 |
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2021 Journal Article Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancerHossain, Md Jakir, Chowdhury, Utpala Nanda, Islam, M. Babul, Uddin, Shahadat, Ahmed, Mohammad Boshir, Quinn, Julian M.W. and Moni, Mohammad Ali (2021). Machine learning and network-based models to identify genetic risk factors to the progression and survival of colorectal cancer. Computers in Biology and Medicine, 135 104539, 104539. doi: 10.1016/j.compbiomed.2021.104539 |
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2021 Journal Article Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in covid-19Aktar, Sakifa, Talukder, Ashis, Ahamad, Md. Martuza, Kamal, A. H.M., Khan, Jahidur Rahman, Protikuzzaman, Md., Hossain, Nasif, Azad, A. K.M., Quinn, Julian M. W., Summers, Mathew A., Liaw, Teng, Eapen, Valsamma and Moni, Mohammad Ali (2021). Machine learning approaches to identify patient comorbidities and symptoms that increased risk of mortality in covid-19. Diagnostics, 11 (8) 1383, 1383. doi: 10.3390/diagnostics11081383 |
