| Public sentiment analysis and topic modeling regarding COVID-19 vaccines on the Reddit social media platform: A call to action for strengthening vaccine confidence CA Melton, OA Olusanya, N Ammar, A Shaban-Nejad Journal of Infection and Public Health 14 (10), 1505-1512, 2021 | 173 | 2021 |
| Health intelligence: how artificial intelligence transforms population and personalized health A Shaban-Nejad, M Michalowski, DL Buckeridge NPJ digital medicine 1 (1), 53, 2018 | 153 | 2018 |
| Addressing parental vaccine hesitancy and other barriers to childhood/adolescent vaccination uptake during the coronavirus (COVID-19) pandemic OA Olusanya, RA Bednarczyk, RL Davis, A Shaban-Nejad Frontiers in immunology 12, 663074, 2021 | 150 | 2021 |
| PopHR: a knowledge‐based platform to support integration, analysis, and visualization of population health data A Shaban‐Nejad, M Lavigne, A Okhmatovskaia, DL Buckeridge Annals of the New York Academy of Sciences 1387 (1), 44-53, 2017 | 99 | 2017 |
| Sociomarkers and biomarkers: predictive modeling in identifying pediatric asthma patients at risk of hospital revisits EK Shin, R Mahajan, O Akbilgic, A Shaban-Nejad NPJ digital medicine 1 (1), 50, 2018 | 54 | 2018 |
| Semantic web infrastructure for fungal enzyme biotechnologists CJO Baker, A Shaban-Nejad, X Su, V Haarslev, G Butler Journal of Web Semantics 4 (3), 168-180, 2006 | 54 | 2006 |
| Artificial intelligence in health: new opportunities, challenges, and practical implications AYS Lau, P Staccini Yearbook of medical informatics 28 (01), 174-178, 2019 | 53 | 2019 |
| Predicting intensive care unit length of stay and mortality using patient vital signs: machine learning model development and validation K Alghatani, N Ammar, A Rezgui, A Shaban-Nejad JMIR medical informatics 9 (5), e21347, 2021 | 50 | 2021 |
| Explainable artificial intelligence recommendation system by leveraging the semantics of adverse childhood experiences: proof-of-concept prototype development N Ammar, A Shaban-Nejad JMIR medical informatics 8 (11), e18752, 2020 | 45 | 2020 |
| Guest editorial explainable AI: towards fairness, accountability, transparency and trust in healthcare A Shaban-Nejad, M Michalowski, JS Brownstein, DL Buckeridge IEEE Journal of Biomedical and Health Informatics 25 (7), 2374-2375, 2021 | 42 | 2021 |
| Social Determinants and Indicators of COVID-19 among Marginalized Communities: A Scientific Review and Call to Action for Pandemic Response and Recovery WS Brakefield, OA Olusanya, B White, A Shaban-Nejad Disaster Medicine and Public Health Preparedness, 1-28, 2022 | 41 | 2022 |
| Seven pillars of precision digital health and medicine A Shaban-Nejad, M Michalowski, N Peek, JS Brownstein, DL Buckeridge Artificial intelligence in medicine 103, 101793, 2020 | 35 | 2020 |
| The fungalweb ontology: Semantic web challenges in bioinformatics and genomics A Shaban-Nejad, CJO Baker, V Haarslev, G Butler The Semantic Web–ISWC 2005: 4th International Semantic Web Conference, ISWC …, 2005 | 34 | 2005 |
| Using a personal health library–enabled mHealth recommender system for self-management of diabetes among underserved populations: use case for knowledge graphs and linked data N Ammar, JE Bailey, RL Davis, A Shaban-Nejad JMIR formative research 5 (3), e24738, 2021 | 33* | 2021 |
| A malaria analytics framework to support evolution and interoperability of global health surveillance systems JH Brenas, MS Al-Manir, CJO Baker, A Shaban-Nejad IEEE Access 5, 21605-21619, 2017 | 31 | 2017 |
| Adverse childhood experiences ontology for mental health surveillance, research, and evaluation: Advanced knowledge representation and semantic web techniques JH Brenas, EK Shin, A Shaban-Nejad JMIR mental health 6 (5), e13498, 2019 | 30 | 2019 |
| Association of maternal social relationships with cognitive development in early childhood EK Shin, K LeWinn, N Bush, FA Tylavsky, RL Davis, A Shaban-Nejad JAMA network open 2 (1), e186963-e186963, 2019 | 30 | 2019 |
| An urban population health observatory system to support COVID-19 pandemic preparedness, response, and management: design and development study WS Brakefield, N Ammar, OA Olusanya, A Shaban-Nejad JMIR Public Health and Surveillance 7 (6), e28269, 2021 | 29 | 2021 |
| Urban decay and pediatric asthma prevalence in Memphis, Tennessee: urban data integration for efficient population health surveillance EK Shin, A Shaban-Nejad IEEE Access 6, 46281-46289, 2018 | 29 | 2018 |
| Bio-medical ontologies maintenance and change management A Shaban-Nejad, V Haarslev Biomedical Data and Applications, 143-168, 2009 | 29* | 2009 |
David L BuckeridgeMcGill University在 mcgill.ca 的电子邮件经过验证
