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Mohammad Ali Moni
Mohammad Ali Moni
Other namesMonimmad Moni, MA Moni
The University of Cambridge; Oxford University; University of Queensland; Charles Sturt University
Verified email at uq.edu.au - Homepage
Title
Cited by
Cited by
Year
Global, regional, and national burden of stroke and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
VL Feigin, BA Stark, CO Johnson, GA Roth, C Bisignano, GG Abady, ...
The Lancet Neurology 20 (10), 795-820, 2021
28062021
Estimation of the global prevalence of dementia in 2019 and forecasted prevalence in 2050: an analysis for the Global Burden of Disease Study 2019
E Nichols, JD Steinmetz, SE Vollset, K Fukutaki, J Chalek, F Abd-Allah, ...
The Lancet Public Health 7 (2), e105-e125, 2022
16742022
Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis …
A Kisa, RRA Bourne, JD Steinmetz, PS Briant, SR Flaxman, S Kisa, ...
12262020
Causes of blindness and vision impairment in 2020 and trends over 30 years, and prevalence of avoidable blindness in relation to VISION 2020: the Right to Sight: an analysis …
JD Steinmetz, RRA Bourne, PS Briant, SR Flaxman, HRB Taylor, ...
The Lancet Global Health 9 (2), e144-e160, 2021
12142021
Comparing different supervised machine learning algorithms for disease prediction
S Uddin, A Khan, ME Hossain, MA Moni
BMC medical informatics and decision making 19 (1), 1-16, 2019
11542019
Cancer incidence, mortality, years of life lost, years lived with disability, and disability-adjusted life years for 29 cancer groups from 2010 to 2019: a systematic analysis …
JM Kocarnik, K Compton, FE Dean, W Fu, BL Gaw, JD Harvey, ...
JAMA oncology 8 (3), 420-444, 2022
9332022
Hearing loss prevalence and years lived with disability, 1990–2019: findings from the Global Burden of Disease Study 2019
LM Haile, K Kamenov, PS Briant, AU Orji, JD Steinmetz, A Abdoli, ...
The Lancet 397 (10278), 996-1009, 2021
5252021
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic …
P Gill
The Lancet 397 (10292), 2337-2360, 2021
4322021
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic …
MB Reitsma, PJ Kendrick, E Ababneh, C Abbafati, M Abbasi-Kangevari, ...
The Lancet 397 (10292), 2337-2360, 2021
4322021
Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic …
GBD 2019 Tobacco Collaborators
Lancet (London, England) 397 (10292), 2337, 2021
4252021
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 …
KR Paulson, AM Kamath, T Alam, K Bienhoff, GG Abady, J Abbas, ...
The Lancet 398 (10303), 870-905, 2021
2932021
Heart disease prediction using supervised machine learning algorithms: Performance analysis and comparison
MM Ali, BK Paul, K Ahmed, FM Bui, JMW Quinn, MA Moni
Computers in Biology and Medicine 136, 104672, 2021
2562021
Activated carbon preparation from biomass feedstock: Clean production and carbon dioxide adsorption
MB Ahmed, MAH Johir, JL Zhou, HH Ngo, LD Nghiem, C Richardson, ...
Journal of Cleaner Production 225, 405-413, 2019
2272019
Role of inflammatory cytokines in COVID-19 patients: A review on molecular mechanisms, immune functions, immunopathology and immunomodulatory drugs to counter cytokine storm
AA Rabaan, SH Al-Ahmed, J Muhammad, A Khan, AA Sule, R Tirupathi, ...
Vaccines 9 (5), 436, 2021
2092021
Comparative performance analysis of K-nearest neighbour (KNN) algorithm and its different variants for disease prediction
S Uddin, I Haque, H Lu, MA Moni, E Gide
Scientific Reports 12 (1), 6256, 2022
1952022
Zeolite synthesis from low-cost materials and environmental applications: A review
A Khaleque, MM Alam, M Hoque, S Mondal, JB Haider, B Xu, MAH Johir, ...
Environmental Advances 2, 100019, 2020
1812020
A machine learning model to identify early stage symptoms of SARS-Cov-2 infected patients
MM Ahamad, S Aktar, M Rashed-Al-Mahfuz, S Uddin, P Liò, H Xu, ...
Expert systems with applications 160, 113661, 2020
1592020
Machine learning-based models for early stage detection of autism spectrum disorders
T Akter, MS Satu, MI Khan, MH Ali, S Uddin, P Lio, JMW Quinn, MA Moni
IEEE Access 7, 166509-166527, 2019
1402019
The burden of bacterial antimicrobial resistance in the WHO European region in 2019: A cross-country systematic analysis
T Mestrovic, GR Aguilar, LR Swetschinski, KS Ikuta, AP Gray, ND Weaver, ...
The Lancet Public Health 7 (11), e897-e913, 2022
1332022
The burden of bacterial antimicrobial resistance in the WHO European region in 2019: a cross-country systematic analysis
AF Fagbamigbe, European Antimicrobial Resistance Collaborators
The Lancet Public Health, 2022
133*2022
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