| Explainable artificial intelligence models using real-world electronic health record data: a systematic scoping review SN Payrovnaziri, Z Chen, P Rengifo-Moreno, T Miller, J Bian, JH Chen, ... Journal of the American Medical Informatics Association 27 (7), 1173-1185, 2020 | 270 | 2020 |
| Building Computational Models to Predict One-Year Mortality in ICU Patients with Acute Myocardial Infarction and Post Myocardial Infarction Syndrome LA Barrett, SN Payrovnaziri, J Bian, Z He AMIA Summits on Translational Science Proceedings 2019, 407, 2019 | 41 | 2019 |
| Machine learning–based prediction of health outcomes in pediatric organ transplantation recipients MO Killian, SN Payrovnaziri, D Gupta, D Desai, Z He Journal of the American Medical Informatics Association Open 4 (1), 2021 | 28 | 2021 |
| Data-driven longitudinal characterization of neonatal health and morbidity D De Francesco, JD Reiss, J Roger, AS Tang, AL Chang, M Becker, ... Science translational medicine 15 (683), eadc9854, 2023 | 19 | 2023 |
| Enhancing prediction models for one-year mortality in patients with acute myocardial infarction and post myocardial infarction syndrome SN Payrovnaziri, LA Barrett, D Bis, J Bian, Z He MEDINFO 2019: Health and Wellbeing e-Networks for All, 273-277, 2019 | 19 | 2019 |
| Assessing the impact of imputation on the interpretations of prediction models: A case study on mortality prediction for patients with acute myocardial infarction SN Payrovnaziri, A Xing, S Salman, X Liu, J Bian, Z He AMIA Summits on Translational Science Proceedings 2021, 465, 2021 | 18* | 2021 |
| Deepconsensus: Consensus-based interpretable deep neural networks with application to mortality prediction S Salman, SN Payrovnaziri, X Liu, P Rengifo-Moreno, Z He 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 11 | 2020 |
| Large-scale correlation network construction for unraveling the coordination of complex biological systems M Becker, H Nassar, C Espinosa, IA Stelzer, D Feyaerts, E Berson, ... Nature computational science 3 (4), 346-359, 2023 | 10 | 2023 |
| Revealing the impact of lifestyle stressors on the risk of adverse pregnancy outcomes with multitask machine learning M Becker, J Dai, AL Chang, D Feyaerts, IA Stelzer, M Zhang, E Berson, ... Frontiers in pediatrics 10, 933266, 2022 | 4 | 2022 |
| Assessing the Use and Perception of Dietary Supplements Among Obese Patients with National Health and Nutrition Examination Survey Z He, LA Barrett, RF Rizvi, X Tang, SN Payrovnaziri, R Zhang AMIA Joint Summits on Translational Science Proceedings, 231-240, 2020 | 4 | 2020 |
| Exploring the discrepancies in actual and perceived benefits of dietary supplements among obese patients Z He, LA Barrett, R Rizvi, SN Payrovnaziri, R Zhang MEDINFO 2019: Health and Wellbeing e-Networks for All, 1474-1475, 2019 | 3 | 2019 |
| Explainable Artificial Intelligence for Predictive Modeling of Electronic Health Records in Patients with Cardiovascular Diseases SN Payrovnaziri The Florida State University, 2021 | | 2021 |
Zhe He, PhD, Fellow of AMIA, IEEE Se...Associate Professor, Florida State University; Interim Director, Institute for Successful LongevityVerified email at cci.fsu.edu