| Development of a definition of postacute sequelae of SARS-CoV-2 infection T Thaweethai, SE Jolley, EW Karlson, EB Levitan, B Levy, GA McComsey, ... Jama 329 (22), 1934-1946, 2023 | 430 | 2023 |
| 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 | 189 | 2021 |
| Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes JT Reese, H Blau, E Casiraghi, T Bergquist, JJ Loomba, TJ Callahan, ... EBioMedicine 87, 2023 | 112 | 2023 |
| Predicting Intensive Care Unit Length of Stay and Mortality Using Patient Vital Signs: Machine Learning Model Development and Validation ASN K. Alghatani, N. Ammar, A. Rezgui JMIR Med Inform, 2021 | 59 | 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 Med Inform 8 (11), 1, 2020 | 49 | 2020 |
| 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 ASN N Ammar, JE Bailey, RL Davis JMIR Formative Research, 2021 | 34 | 2021 |
| 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 | 32 | 2021 |
| Risk factors associated with post-acute sequelae of sars-cov-2 in an ehr cohort: A national covid cohort collaborative (n3c) analysis as part of the nih recover program E Hill, H Mehta, S Sharma, K Mane, C Xie, E Cathey, J Loomba, S Russell, ... medRxiv, 2022 | 24 | 2022 |
| Risk of post-acute sequelae of SARS-CoV-2 infection associated with pre-coronavirus disease obstructive sleep apnea diagnoses: an electronic health record-based analysis from … H L Mandel, G Colleen, S Abedian, N Ammar, L Charles Bailey, ... Sleep 46 (9), zsad126, 2023 | 19 | 2023 |
| Risk factors associated with post-acute sequelae of SARS-CoV-2: an N3C and NIH RECOVER study EL Hill, HB Mehta, S Sharma, K Mane, SK Singh, C Xie, E Cathey, ... BMC public health 23 (1), 2103, 2023 | 17 | 2023 |
| The personal health library: a single point of secure access to patient digital health information N Ammar, JE Bailey, RL Davis, A Shaban-Nejad Digital Personalized Health and Medicine, 448-452, 2020 | 16 | 2020 |
| XACML Policy Evaluation With Dynamic Context Handling N Ammar, Z Malik, E Bertino, A Rezgui Knowledge and Data Engineering, IEEE Transactions on 27 (9), 2015 | 15 | 2015 |
| Analyzing relationships between economic and neighborhood-related social determinants of health and intensive care unit length of stay for critically ill children with medical … H Hamilton, AN West, N Ammar, L Chinthala, F Gunturkun, T Jones, ... Frontiers in Public Health 10, 789999, 2022 | 10 | 2022 |
| K-anonymity based approach for privacy-preserving web service selection N Ammar, Z Malik, B Medjahed, M Alodib 2015 IEEE International Conference on Web Services, 281-288, 2015 | 9 | 2015 |
| An urban population health observatory for disease causal pathway analysis and decision support: Underlying explainable artificial intelligence model WS Brakefield, N Ammar, A Shaban-Nejad JMIR Formative Research 6 (7), e36055, 2022 | 8 | 2022 |
| Precision clinical medicine through machine learning: using high and low quantile ranges of vital signs for risk stratification of ICU patients K Alghatani, N Ammar, A Rezgui, A Shaban-Nejad IEEE Access 10, 52418-52430, 2022 | 8 | 2022 |
| Implementation of a Personal Health Library (PHL) to support chronic disease self-management N Ammar, JE Bailey, RL Davis, A Shaban-Nejad Explainable AI in Healthcare and Medicine: Building a Culture of …, 2021 | 8 | 2021 |
| Implementing an Urban Public Health Observatory for (Near) Real-Time Surveillance for the COVID-19 Pandemic A BRAKEFIELD, W., AMMAR, N., OLUSANYA, O., OZDENEROL, E., THOMAS, F ... Studies in Health Technology andInformatics NLM Catalog, 2020 | 8* | 2020 |
| SPACES: Explainable multimodal ai for active surveillance, diagnosis, and management of adverse childhood experiences (ACEs) N Ammar, P Zareie, ME Hare, L Rogers, S Madubuonwu, J Yaun, ... 2021 IEEE International Conference on Big Data (Big Data), 5843-5847, 2021 | 7 | 2021 |
| Evaluation of the usefulness of diagrams of the run-time structure for coding activities N Ammar Wayne State University, 2011 | 6 | 2011 |
Olufunto A. OlusanyaUniversity of Tennessee Health Science CenterVerified email at uthsc.edu
