| A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients N Razavian, VJ Major, M Sudarshan, J Burk-Rafel, P Stella, H Randhawa, ... NPJ digital medicine 3 (1), 130, 2020 | 67 | 2020 |
| Development and validation of a machine learning-based decision support tool for residency applicant screening and review J Burk-Rafel, I Reinstein, J Feng, MB Kim, LH Miller, PM Cocks, M Marin, ... Academic Medicine 96 (11S), S54-S61, 2021 | 21 | 2021 |
| XGBoost, a Top Machine Learning Method on Kaggle, Explained I Reinstein https://www.kdnuggets.com/2017/10/xgboost-top-machine-learning-method-kaggle …, 2017 | 19 | 2017 |
| Multi-level longitudinal learning curve regression models integrated with item difficulty metrics for deliberate practice of visual diagnosis: groundwork for adaptive learning I Reinstein, J Hill, DA Cook, M Lineberry, MV Pusic Advances in Health Sciences Education 26 (3), 881-912, 2021 | 10 | 2021 |
| Development and validation of a machine learning model for automated assessment of resident clinical reasoning documentation V Schaye, B Guzman, J Burk-Rafel, M Marin, I Reinstein, D Kudlowitz, ... Journal of General Internal Medicine 37 (9), 2230-2238, 2022 | 7 | 2022 |
| A validated, real-time prediction model for favorable outcomes in hospitalized COVID-19 patients. npj Digit. Med. 3, 130 N Razavian, VJ Major, M Sudarshan, J Burk-Rafel, P Stella, H Randhawa, ... | 6 | 2020 |
| Artificial intelligence screening of medical school applications: development and validation of a machine-learning algorithm MM Triola, I Reinstein, M Marin, C Gillespie, S Abramson, RI Grossman, ... Academic Medicine 98 (9), 1036-1043, 2023 | 4 | 2023 |
| Random Forests, Explained I Reinstein https://www.kdnuggets.com/2017/10/random-forests-explained.html, 2017 | 4 | 2017 |
| A new tool for holistic residency application review: using Natural Language Processing of applicant experiences to predict interview invitation AU Mahtani, I Reinstein, M Marin, J Burk-Rafel Academic Medicine 98 (9), 1018-1021, 2023 | 3 | 2023 |
| Identifying Meaningful Patterns of Internal Medicine Clerkship Grading Distributions: Application of Data Science Techniques Across 135 US Medical Schools J Burk-Rafel, I Reinstein, YS Park Academic Medicine 98 (3), 337-341, 2023 | 2 | 2023 |
| Toward (More) Valid Comparison of Residency Applicants’ Grades: Cluster Analysis of Clerkship Grade Distributions Across 135 US MD-granting Medical Schools J Burk-Rafel, I Reinstein, YS Park Academic Medicine 97 (11S), S156, 2022 | 1 | 2022 |
| Mapping hospital data to characterize residents’ educational experiences DW Rhee, I Reinstein, M Jrada, J Pendse, P Cocks, DT Stern, DJ Sartori BMC Medical Education 22 (1), 496, 2022 | 1 | 2022 |
| The “Growth Instant Feedback Tool (GIFTool)” Workplace-Based Assessment of Entrustable Professional Activity Performance: Preliminary Evidence for Validity C Osman, C Bradshaw, I Reinstein, C Gillespie, L Tewksbury | | 2023 |
| NOTESENSE: DEVELOPMENT OF A MACHINE LEARNING ALGORITHM FOR FEEDBACK ON CLINICAL REASONING DOCUMENTATION V Schaye, B Guzman, JB Rafel, D Kudlowitz, I Reinstein, L Miller, P Cocks, ... JOURNAL OF GENERAL INTERNAL MEDICINE 36 (SUPPL 1), S110-S110, 2021 | | 2021 |
| Bosonización del modelo xxz I Reinstein Bogotá-Uniandes, 2014 | | 2014 |
Jesse Burk-RafelAssistant Professor, Internal Medicine, NYU Grossman School of MedicineVerified email at nyulangone.org
