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2024

Journal Article

Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)

Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Bikbov, Mukkharram M., Braithwaite, Tasanee, Bron, Alain, Cheng, Ching-Yu, Del Monte, Monte A., Ehrlich, Joshua R., Ellwein, Leon B., Friedman, David, Furtado, João M., Gazzard, Gus, George, Ronnie, Hartnett, M. Elizabeth, Jonas, Jost B., Kahloun, Rim, Khairallah, Moncef, Khanna, Rohit C., Leasher, Janet ... Steinmetz, Jaimie D. (2024). Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1). Eye (Basingstoke), 38 (11), 2229-2231. doi: 10.1038/s41433-024-03161-7

Correction to: Global estimates on the number of people blind or visually impaired by cataract_ a meta-analysis from 2000 to 2020 (Eye, (2024), 10.1038/s41433-024-02961-1)

2024

Journal Article

An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection

Mehedi Shamrat, F M Javed, Shakil, Rashiduzzaman, Sharmin, , Hoque ovy, Nazmul, Akter, Bonna, Ahmed, Md Zunayed, Ahmed, Kawsar, Bui, Francis M. and Moni, Mohammad Ali (2024). An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection. Healthcare Analytics, 5 100303, 100303. doi: 10.1016/j.health.2024.100303

An advanced deep neural network for fundus image analysis and enhancing diabetic retinopathy detection

2024

Journal Article

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

Mahajan, Palak, Uddin, Shahadat, Hajati, Farshid, Moni, Mohammad Ali and Gide, Ergun (2024). A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets. Health and Technology, 14 (3), 597-613. doi: 10.1007/s12553-024-00835-w

A comparative evaluation of machine learning ensemble approaches for disease prediction using multiple datasets

2024

Journal Article

Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria V., Arrigo, Alessandro, Leveziel, Nicolas, Briant, Paul Svitil, Vos, Theo, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Flaxman, Seth, Steinmetz, Jaimie, Bourne, Rupert, Pesudovs, Konrad, Lansingh, Van Charles, Kempen, John H., Tapply, Ian, Fernandes, Arthur G., Cicinelli, Maria Vittoria, Arrigo, Alessandro, Leveziel, Nicolas, Resnikoff, Serge, Taylor, Hugh R., Sedighi, Tabassom, Bikbov, Mukkharram M., Braithwaite, Tasanee ... Bourne, Rupert (2024). Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020. Eye (Basingstoke), 38 (11), 2156-2172. doi: 10.1038/s41433-024-02961-1

Global estimates on the number of people blind or visually impaired by cataract: a meta-analysis from 2000 to 2020

2024

Journal Article

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md Ashraf, Kazi, Mohsin, Khalid, Majdi, Akhter, Arnisha and Moni, Mohammad Ali (2024). Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications. Digital Health, 10. doi: 10.1177/20552076241271867

Toward reliable diabetes prediction: Innovations in data engineering and machine learning applications

2024

Journal Article

Review of physical layer security in molecular internet of nano-things

Qiu, Song, Wei, Zhuangkun, Huang, Yu, Abbaszadeh, Mahmoud, Charmet, Jerome, Li, Bin and Guo, Weisi (2024). Review of physical layer security in molecular internet of nano-things. IEEE Transactions on NanoBioscience, 23 (1), 91-100. doi: 10.1109/tnb.2023.3285973

Review of physical layer security in molecular internet of nano-things

2024

Journal Article

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilising EEG Signals

Anik, Israq Ahmed, Kamal, A H M, Kabir, Muhammad Ashad, Uddin, Shahadat and Moni, Mohammad Ali (2024). A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilising EEG Signals. IEEE Transactions on Artificial Intelligence, PP (99), 1-10. doi: 10.1109/tai.2024.3394792

A Robust Deep-Learning Model to Detect Major Depressive Disorder Utilising EEG Signals

2024

Journal Article

Deep and Shallow Learning Model-based Sleep Apnea Diagnosis Systems: A Comprehensive Study

Raisa, Roksana Akter, Rodela, Ayesha Siddika, Yousuf, Mohammad Abu, Azad, AKM, Alyami, Salem A., Liò, Pietro, Islam, Md Zahidul, Pogrebna, Ganna and Moni, Mohammad Ali (2024). Deep and Shallow Learning Model-based Sleep Apnea Diagnosis Systems: A Comprehensive Study. IEEE Access, 1-1. doi: 10.1109/access.2024.3426928

Deep and Shallow Learning Model-based Sleep Apnea Diagnosis Systems: A Comprehensive Study

2023

Journal Article

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients

Sutradhar, Ananda, Al Rafi, Mustahsin, Shamrat, F M Javed Mehedi, Ghosh, Pronab, Das, Subrata, Islam, Md Anaytul, Ahmed, Kawsar, Zhou, Xujuan, Azad, A. K.M., Alyami, Salem A. and Moni, Mohammad Ali (2023). BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients. Scientific Reports, 13 (1) 22874, 1-16. doi: 10.1038/s41598-023-48486-7

BOO-ST and CBCEC: two novel hybrid machine learning methods aim to reduce the mortality of heart failure patients

2023

Journal Article

Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities

Nayan, Saidul Islam, Rahman, Md Habibur, Hasan, Md. Mehedi, Raj, Sheikh Md. Razibul Hasan, Almoyad, Mohammad Ali Abdullah, Liò, Pietro and Moni, Mohammad Ali (2023). Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities. Life Sciences, 335 122244, 1-16. doi: 10.1016/j.lfs.2023.122244

Network based approach to identify interactions between Type 2 diabetes and cancer comorbidities

2023

Journal Article

A computational approach to design a polyvalent vaccine against human respiratory syncytial virus

Moin, Abu Tayab, Ullah, Md. Asad, Patil, Rajesh B., Faruqui, Nairita Ahsan, Araf, Yusha, Das, Sowmen, Uddin, Khaza Md. Kapil, Hossain, Md. Shakhawat, Miah, Md. Faruque, Moni, Mohammad Ali, Chowdhury, Dil Umme Salma and Islam, Saiful (2023). A computational approach to design a polyvalent vaccine against human respiratory syncytial virus. Scientific Reports, 13 (1) 9702, 9702. doi: 10.1038/s41598-023-35309-y

A computational approach to design a polyvalent vaccine against human respiratory syncytial virus

2023

Journal Article

The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Islam, Sheikh Mohammed Shariful, Uddin, Riaz, Das, Subasish, Ahmed, Syed Imran, Zaman, Sojib Bin, Alif, Sheikh Mohammad, Hossen, Md Tanvir, Sarker, Malabika, Siopis, George, Livingstone, Katherine M., Mehlman, Max L., Rahman, Md. Marufur, Chowdhury, Rahat I., Alim, Md. Abdul, Choudhury, Sohel Reza, Ahmed, Syed Masud, Adhikary, Ripon Kumar, Anjum, Afifa, Banik, Palash Chandra, Chowdhury, Fazle Rabbi, Faruk, Md Omar, Gupta, Rajat Das, Hannan, Md Abdul, Haque, Md Nuruzzaman, Haque, Syed Emdadul, Hasan, M. Tasdik, Hossain, Md Belal, Hossain, Md Mahbub, Hossain, Muttaquina ... Naghavi, Mohsen (2023). The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Global Health, 11 (12), e1931-e1942. doi: 10.1016/S2214-109X(23)00432-1

The burden of diseases and risk factors in Bangladesh, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2023

Journal Article

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model

Asadi, Shirin, Tartibian, Bakhtyar and Moni, Mohammad Ali (2023). Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model. Scientific Reports, 13 (1) 8207, 1-10. doi: 10.1038/s41598-023-34974-3

Determination of optimum intensity and duration of exercise based on the immune system response using a machine-learning model

2023

Journal Article

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

Talukder, Md. Alamin, Islam, Md. Manowarul, Uddin, Md. Ashraf, Akhter, Arnisha, Pramanik, Md. Alamgir Jalil, Aryal, Sunil, Almoyad, Muhammad Ali Abdulllah, Hasan, Khondokar Fida and Moni, Mohammad Ali (2023). An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning. Expert Systems with Applications, 230 120534, 120534. doi: 10.1016/j.eswa.2023.120534

An efficient deep learning model to categorize brain tumor using reconstruction and fine-tuning

2023

Journal Article

Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches

Ahmed, Fee Faysal, Das, Arnob Dip, Sumi, Mst. Joynab, Islam, Md. Zohurul, Rahman, Md. Shahedur, Rashid, Md. Harun, Alyami, Salem A., Alotaibi, Naif, Azad, A. K.M. and Moni, Mohammad Ali (2023). Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches. Scientific Reports, 13 (1) 19072, 1-14. doi: 10.1038/s41598-023-46455-8

Identification of genetic biomarkers, drug targets and agents for respiratory diseases utilising integrated bioinformatics approaches

2023

Journal Article

Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Safdarian, Mahdi, Trinka, Eugen, Rahimi-Movaghar, Vafa, Thomschewski, Aljoscha, Aali, Amirali, Abady, Gdiom Gebreheat, Abate, Semagn Mekonnen, Abd-Allah, Foad, Abedi, Aidin, Adane, Denberu Eshetie, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Haroon, Amanat, Nasir, Angappan, Dhanalakshmi, Arabloo, Jalal, Aryannejad, Armin, Athari, Seyyed Shamsadin, Atreya, Alok, Azadnajafabad, Sina, Azzam, Ahmed Y, Babamohamadi, Hassan, Banik, Palash Chandra, Bardhan, Mainak, Bashiri, Azadeh, Berhie, Alemshet Yirga, Bhat, Ajay Nagesh, Brown, Julie ... Zhang, Zhi-Jiang (2023). Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. The Lancet Neurology, 22 (11), 1026-1047. doi: 10.1016/S1474-4422(23)00287-9

Global, regional, and national burden of spinal cord injury, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

2023

Journal Article

Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Gill, Tiffany K., Mittinty, Manasi Murthy, March, Lyn M., Steinmetz, Jaimie D., Culbreth, Garland T., Cross, Marita, Kopec, Jacek A., Woolf, Anthony D., Haile, Lydia M., Hagins, Hailey, Ong, Kanyin Liane, Kopansky-Giles, Deborah R., Dreinhoefer, Karsten E., Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, Krishna, Adesina, Miracle Ayomikun, Aithala, Janardhana P., Akbarzadeh-Khiavi, Mostafa, Al Thaher, Yazan, Alalwan, Tariq A., Alzahrani, Hosam, Amiri, Sohrab, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y., Arumugam, Ashokan, Aryal, Krishna K. ... Brooks, Peter M. (2023). Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. Lancet Rheumatology, 5 (11), E670-E682.

Global, regional, and national burden of other musculoskeletal disorders, 1990-2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

2023

Journal Article

Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

Gill, Tiffany K, Mittinty, Manasi Murthy, March, Lyn M, Steinmetz, Jaimie D, Culbreth, Garland T, Cross, Marita, Kopec, Jacek A, Woolf, Anthony D, Haile, Lydia M, Hagins, Hailey, Ong, Kanyin Liane, Kopansky-Giles, Deborah R, Dreinhoefer, Karsten E, Betteridge, Neil, Abbasian, Mohammadreza, Abbasifard, Mitra, Abedi, krishna, Adesina, Miracle Ayomikun, Aithala, Janardhana P, Akbarzadeh-Khiavi, Mostafa, Al Thaher, Yazan, Alalwan, Tariq A, Alzahrani, Hosam, Amiri, Sohrab, Antony, Benny, Arabloo, Jalal, Aravkin, Aleksandr Y, Arumugam, Ashokan, Aryal, Krishna K ... Brooks, Peter M (2023). Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021. The Lancet Rheumatology, 5 (11), e670-e682. doi: 10.1016/S2665-9913(23)00232-1

Global, regional, and national burden of other musculoskeletal disorders, 1990–2020, and projections to 2050: a systematic analysis of the Global Burden of Disease Study 2021

2023

Journal Article

Development and performance analysis of machine learning methods for predicting depression among menopausal women

Ali, Md. Mamun, Algashamy, Hussein Ali A., Alzidi, Enas, Ahmed, Kawsar, Bui, Francis M., Patel, Shobhit K., Azam, Sami, Abdulrazak, Lway Faisal and Moni, Mohammad Ali (2023). Development and performance analysis of machine learning methods for predicting depression among menopausal women. Healthcare Analytics, 3 100202. doi: 10.1016/j.health.2023.100202

Development and performance analysis of machine learning methods for predicting depression among menopausal women

2023

Journal Article

Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021

Moberg, Madeline E, Hamilton, Erin B, Zeng, Scott M, Bryazka, Dana, Zhao, Jeff T, Feldman, Rachel, Abate, Yohannes Habtegiorgis, Abbasi-Kangevari, Mohsen, Abdurehman, Ame Mehadi, Abedi, Aidin, Abu-Gharbieh, Eman, Addo, Isaac Yeboah, Adepoju, Abiola Victor, Adnani, Qorinah Estiningtyas Sakilah, Afzal, Saira, Ahinkorah, Bright Opoku, Ahmad, Sajjad, Ahmed, Danial, Ahmed, Haroon, Alem, Dejene Tsegaye, Al-Gheethi, Adel Ali Saeed, Alimohamadi, Yousef, Ameyaw, Edward Kwabena, Amrollahi-Sharifabadi, Mohammad, Anagaw, Tadele Fentabil, Anyasodor, Anayochukwu Edward, Arabloo, Jalal, Aravkin, Aleksandr Y, Athari, Seyyed Shamsadin ... Ong, Kanyin Liane (2023). Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021. The Lancet Public Health, 8 (11), e839-e849. doi: 10.1016/S2468-2667(23)00185-8

Global, regional, and national mortality due to unintentional carbon monoxide poisoning, 2000–2021: results from the Global Burden of Disease Study 2021