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2022 Journal Article Identifying heterogeneity of diabetics mellitus based on the demographical and clinical characteristicsIslam, Linta, Islam, Md Rafiqul, Akter, Shanjita, Hasan, Md Zobaer, Moni, Mohammad Ali and Uddin, Mohammed Nasir (2022). Identifying heterogeneity of diabetics mellitus based on the demographical and clinical characteristics. Human-Centric Intelligent Systems, 2 (1), 44-54. doi: 10.1007/s44230-022-00003-1 |
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2022 Journal Article Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysisHasan, Md. Tanvir, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Islam, Md. Rezwan, Sathi, Yeasmin Hena, Al-Zahrani, Fahad Ahmed, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Discovering common pathophysiological processes between COVID-19 and cystic fibrosis by differential gene expression pattern analysis. BioMed Research International, 2022 (1) 8078259, 8078259. doi: 10.1155/2022/8078259 |
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2022 Journal Article Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease predictionUddin, Shahadat, Haque, Ibtisham, Lu, Haohui, Moni, Mohammad Ali and Gide, Ergun (2022). Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction. Scientific Reports, 12 (1) 6256, 6256. doi: 10.1038/s41598-022-10358-x |
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2022 Journal Article Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countriesKhan, Asaduzzaman, Moni, Mohammad A., Khan, Shanchita R. and Burton, Nicola W. (2022). Different types of screen time are associated with low life satisfaction in adolescents across 37 European and North American countries. Scandinavian Journal of Public Health, 51 (6) 14034948221082459, 140349482210824-925. doi: 10.1177/14034948221082459 |
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2022 Journal Article A machine learning model for predicting individual substance abuse with associated risk-factorsIslam, Uwaise Ibna, Haque, Enamul, Alsalman, Dheyaaldin, Islam, Muhammad Nazrul, Moni, Mohammad Ali and Sarker, Iqbal H. (2022). A machine learning model for predicting individual substance abuse with associated risk-factors. Annals of Data Science, 10 (6), 1-28. doi: 10.1007/s40745-022-00381-0 |
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2022 Conference Publication Predictive risk modelling in mental health issues using machine learning on graphsLu, Haohui, Uddin, Shahadat, Hajati, Farshid, Khushi, Matloob and Moni, Mohammad Ali (2022). Predictive risk modelling in mental health issues using machine learning on graphs. ACSW 2022: Australasian Computer Science Week 2022, Online, 14 February 2022. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3511616.3513112 |
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2022 Conference Publication A machine learning model to recognise human emotions using electroencephalogramRoy, Nipa, Aktar, Sakifa, Ahamad, Md. Martuza and Moni, Mohammad Ali (2022). A machine learning model to recognise human emotions using electroencephalogram. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733675 |
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2022 Conference Publication Early stage autism spectrum disorder detection of adults and toddlers using machine learning modelsHasan, Minhazul, Ahamad, Md. Martuza, Aktar, Sakifa and Moni, Mohammad Ali (2022). Early stage autism spectrum disorder detection of adults and toddlers using machine learning models. 2021 5th International Conference on Electrical Information and Communication Technology (EICT), Khulna, Bangladesh, 17-19 December 2021. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/EICT54103.2021.9733664 |
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2022 Journal Article SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteinsAhmad, Saeed, Charoenkwan, Phasit, Quinn, Julian M. W., Moni, Mohammad Ali, Hasan, Md Mehedi, Lio', Pietro and Shoombuatong, Watshara (2022). SCORPION is a stacking-based ensemble learning framework for accurate prediction of phage virion proteins. Scientific Reports, 12 (1) 4106, 1-15. doi: 10.1038/s41598-022-08173-5 |
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2022 Journal Article Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019Cousin, Ewerton, Duncan, Bruce B., Stein, Caroline, Ong, Kanyin Liane, Vos, Theo, Abbafati, Cristiana, Abbasi-Kangevari, Mohsen, Abdelmasseh, Michael, Abdoli, Amir, Abd-Rabu, Rami, Abolhassani, Hassan, Abu-Gharbieh, Eman, Accrombessi, Manfred Mario Kokou, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Muhammad Sohail, Agarwal, Gina, Agrawaal, Krishna K., Agudelo-Botero, Marcela, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadi, Sepideh, Ahmadi, Ali, Ahmed, Ali, Salih, Yusra Ahmed, Akande-Sholabi, Wuraola, Akram, Tayyaba, Al Hamad, Hanadi ... Schmidt, Maria Ines (2022). Diabetes mortality and trends before 25 years of age: an analysis of the Global Burden of Disease Study 2019. Lancet Diabetes and Endocrinology, 10 (3), 177-192. doi: 10.1016/S2213-8587(21)00349-1 |
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2022 Journal Article Machine learning models for classification and identification of significant attributes to detect type 2 diabetesHowlader, Koushik Chandra, Satu, Md. Shahriare, Awal, Md. Abdul, Islam, Md. Rabiul, Islam, Sheikh Mohammed Shariful, Quinn, Julian M. W. and Moni, Mohammad Ali (2022). Machine learning models for classification and identification of significant attributes to detect type 2 diabetes. Health Information Science and Systems, 10 (1) 2, 2. doi: 10.1007/s13755-021-00168-2 |
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2022 Journal Article Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019Ledesma, Jorge R, Ma, Jianing, Vongpradith, Avina, Maddison, Emilie R, Novotney, Amanda, Biehl, Molly H, LeGrand, Kate E, Ross, Jennifer M, Jahagirdar, Deepa, Bryazka, Dana, Feldman, Rachel, Abolhassani, Hassan, Abosetugn, Akine Eshete, Abu-Gharbieh, Eman, Adebayo, Oladimeji M, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad Ahmad, Ahmadi, Sepideh, Ahmed Rashid, Tarik, Ahmed Salih, Yusra, Aklilu, Addis, Akunna, Chisom Joyqueenet, Al Hamad, Hanadi, Alahdab, Fares, Alemayehu, Yosef, Alene, Kefyalew Addis, Ali, Beriwan Abdulqadir ... Kyu, Hmwe Hmwe (2022). Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019. The Lancet Infectious Diseases, 22 (2), 222-241. doi: 10.1016/S1473-3099(21)00449-7 |
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2022 Journal Article Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019GBD 2019 Dementia Forecasting Collaborators, Moniruzzaman, Md and Moni, Mohammad Ali (2022). Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019. The Lancet. Public health, 7 (2), e105-e125. doi: 10.1016/S2468-2667(21)00249-8 |
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2022 Journal Article Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancersIslam, Md Khairul, Rahman, Md. Habibur, Islam, Md Rakibul, Islam, Md Zahidul, Mamun, Md Mainul Islam, Azad, A. K.M. and Moni, Mohammad Ali (2022). Network based systems biology approach to identify diseasome and comorbidity associations of Systemic Sclerosis with cancers. Heliyon, 8 (2) e08892, e08892. doi: 10.1016/j.heliyon.2022.e08892 |
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2022 Journal Article A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitusLu, Haohui, Uddin, Shahadat, Hajati, Farshid, Moni, Mohammad Ali and Khushi, Matloob (2022). A patient network-based machine learning model for disease prediction: The case of type 2 diabetes mellitus. Applied Intelligence, 52 (3), 2411-2422. doi: 10.1007/s10489-021-02533-w |
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2022 Journal Article SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acidsCharoenkwan, Phasit, Chiangjong, Wararat, Nantasenamat, Chanin, Moni, Mohammad Ali, Lio’, Pietro, Manavalan, Balachandran and Shoombuatong, Watshara (2022). SCMTHP: a new approach for identifying and characterizing of tumor-homing peptides using estimated propensity scores of amino acids. Pharmaceutics, 14 (1) 122, 122. doi: 10.3390/pharmaceutics14010122 |
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2022 Journal Article Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approachIslam, Md. Rakibul, Abdulrazak, Lway Faisal, Alam, Mohammad Khursheed, Paul, Bikash Kumar, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2022). Identification of potential key genes and molecular mechanisms of medulloblastoma based on integrated bioinformatics approach. BioMed Research International, 2022 (1) 1776082, 1-17. doi: 10.1155/2022/1776082 |
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2022 Journal Article Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteinsCharoenkwan, Phasit, Schaduangrat, Nalini, Hasan, Md Mehedi, Moni, Mohammad Ali, Lió, Pietro and Shoombuatong, Watshara (2022). Empirical comparison and analysis of machine learning-based predictors for predicting and analyzing of thermophilic proteins. EXCLI Journal, 21, 554-570. doi: 10.17179/excli2022-4723 |
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2022 Journal Article An in silico approach towards identification of novel drug targets in Klebsiella oxytocaHafsa, Umme, Chuwdhury, G. S., Hasan, Md Kamrul, Ahsan, Tanveer and Moni, Mohammad Ali (2022). An in silico approach towards identification of novel drug targets in Klebsiella oxytoca. Informatics in Medicine Unlocked, 31 100998, 1-10. doi: 10.1016/j.imu.2022.100998 |
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2022 Journal Article Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19Hasan, Md. Imran, Rahman, Md Habibur, Islam, M. Babul, Islam, Md Zahidul, Hossain, Md Arju and Moni, Mohammad Ali (2022). Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19. Informatics in Medicine Unlocked, 28 100840, 100840. doi: 10.1016/j.imu.2021.100840 |
