|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
2022 Conference Publication SATLabel: a framework for sentiment and aspect terms based automatic topic labellingShahriar, Khandaker Tayef, Moni, Mohammad Ali, Hoque, Mohammed Moshiul, Islam, Muhammad Nazrul and Sarker, Iqbal H. (2022). SATLabel: a framework for sentiment and aspect terms based automatic topic labelling. Machine Intelligence and Data Science Applications, Cumilla, Bangladesh, 26-27 December 2021. Gateway East, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-19-2347-0_6 |
|
2022 Journal Article Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensorKhatun, Mst. Alema, Yousuf, Mohammad Abu, Ahmed, Sabbir, Uddin, Md. Zia, Alyami, Salem A., Al-Ashhab, Samer, Akhdar, Hanan F., Khan, Asaduzzaman, Azad, Akm and Moni, Mohammad Ali (2022). Deep CNN-LSTM with self-attention model for human activity recognition using wearable sensor. IEEE Journal of Translational Engineering in Health and Medicine, 10 2700316, 1-16. doi: 10.1109/jtehm.2022.3177710 |
|
2022 Journal Article Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiencyIslam, M. Babul, Chowdhury, Utpala Nanda, Nashiry, Md. Asif and Moni, Mohammad Ali (2022). Severity of COVID-19 patients with coexistence of asthma and vitamin D deficiency. Informatics in Medicine Unlocked, 34 101116, 101116. doi: 10.1016/j.imu.2022.101116 |
|
2022 Journal Article Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey dataIslam, Md. Akhtarul, Tabassum, Tarana and Moni, Mohammad Ali (2022). Exploring the influencing factors for infant mortality: a mixed-method study of 24 developing countries based on demographic and health survey data. Family Medicine and Primary Care Review, 24 (3), 227-236. doi: 10.5114/fmpcr.2022.118281 |
|
2022 Journal Article Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approachIslam, A.M. Humyra, Rahman, Md Habibur, Bristy, Sadia Afrin, Andalib, K.M. Salim, Khan, Umama, Awal, Md Abdul, Hossain, Md Shahadat and Moni, Mohammad Ali (2022). Identification of molecular signatures and pathways common to blood cells and brain tissue based RNA-Seq datasets of bipolar disorder: Insights from comprehensive bioinformatics approach. Informatics in Medicine Unlocked, 29 100881, 1-12. doi: 10.1016/j.imu.2022.100881 |
|
2022 Conference Publication Early stage detection of heart failure using machine learning techniquesAlom, Zulfikar, Azim, Mohammad Abdul, Aung, Zeyar, Khushi, Matloob, Car, Josip and Moni, Mohammad Ali (2022). Early stage detection of heart failure using machine learning techniques. International Conference on Big Data, IoT, and Machine Learning, Cox’s Bazar, Bangladesh, 23-25 September 2021. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-16-6636-0_7 |
|
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 |
