| Model-assisted cohort selection with bias analysis for generating large-scale cohorts from the EHR for oncology research B Birnbaum, N Nussbaum, K Seidl-Rathkopf, M Agrawal, M Estevez, ... arXiv preprint arXiv:2001.09765, 2020 | 174 | 2020 |
| Affordable Care Act (ACA) Medicaid expansion impact on racial disparities in time to cancer treatment. BJS Adamson, AB Cohen, M Estevez, K Magee, E Williams, CP Gross, ... Journal of Clinical Oncology 37 (18_suppl), LBA1-LBA1, 2019 | 51 | 2019 |
| ACA Medicaid expansion association with racial disparity reductions in timely cancer treatment. BJS Adamson, AB Cohen, CP Gross, M Estévez, K Magee, E Williams, ... American Journal of Managed Care 27 (7), 2021 | 18 | 2021 |
| Approach to machine learning for extraction of real-world data variables from electronic health records B Adamson, M Waskom, A Blarre, J Kelly, K Krismer, S Nemeth, J Gippetti, ... Frontiers in Pharmacology 14, 1180962, 2023 | 12 | 2023 |
| Automated electronic health record–based tool for identification of patients with metastatic disease to facilitate clinical trial patient ascertainment J Kirshner, K Cohn, S Dunder, K Donahue, M Richey, P Larson, L Sutton, ... JCO Clinical Cancer Informatics 5, 719-727, 2021 | 11 | 2021 |
| Considerations for the use of machine learning extracted real-world data to support evidence generation: a research-centric evaluation framework M Estevez, CM Benedum, C Jiang, AB Cohen, S Phadke, S Sarkar, ... Cancers 14 (13), 3063, 2022 | 9 | 2022 |
| Replication of real-world evidence in oncology using electronic health record data extracted by machine learning CM Benedum, A Sondhi, E Fidyk, AB Cohen, S Nemeth, B Adamson, ... Cancers 15 (6), 1853, 2023 | 6 | 2023 |
| PPM8 A machine learning model for cancer biomarker identification in electronic health records G Ambwani, A Cohen, M Estévez, N Singh, B Adamson, NC Nussbaum, ... Value in Health 22, S334, 2019 | 4 | 2019 |
| Systems and methods for extracting dates associated with a patient condition J Gippetti, S Phadke, G Amster, N Singh, S Sridharma, M Estevez, J Ritten, ... US Patent 11,908,586, 2024 | 3 | 2024 |
| P57 Machine learning-accelerated outcomes research: a real-world case study of biomarker-associated overall survival in oncology C Benedum, B Adamson, AB Cohen, M Estevez, A Sondhi, E Fidyk, ... Value in Health 25 (12), S13-S14, 2022 | 1 | 2022 |
| Ai1 quantifying bias in ML-extracted variables for inference in clinical oncology J Lee, M Estevez, BD Segal, A Sondhi, AB Cohen, ST Cherng Value in Health 24, S1, 2021 | 1 | 2021 |
| Extracting non-small cell lung cancer (NSCLC) diagnosis and diagnosis dates from electronic health record (EHR) text using a deep learning algorithm. AS Rich, B Leybovich, M Estevez, J Irvine, N Singh, AB Cohen, ... Journal of clinical oncology 39 (15_suppl), 1556-1556, 2021 | 1 | 2021 |
| Clinical Characteristics, Treatment Trends, and Outcomes of Patients with HHV-8-Negative/Idiopathic Multicentric Castleman Disease Treated with Siltuximab in a Machine Learning … AB Cohen, M Estevez, JG Kelly, JN Gippetti, EL Fidyk, JD Brandstadter, ... Blood 142, 907, 2023 | | 2023 |
| EP07. 04-26 Real-World Biomarker Testing and Treatment Patterns Identified Using Machine Learning in Early Non-small Cell Lung Cancer JM Lee, K Schulze, J Nedzesky, C Ng, S Ogale, A Johnson, H Hasan, ... Journal of Thoracic Oncology 18 (11), S555-S556, 2023 | | 2023 |
| Metastatic patterns and outcomes by HER2 and hormone receptor (HR) status in patients (pts) with metastatic breast cancer (mBC). Q Yuan, E Castellanos, E Fidyk, K Schwed, M Estevez, S Nemeth, ... Journal of Clinical Oncology 41 (16_suppl), 1031-1031, 2023 | | 2023 |
| Andersson, TG 48 M Andreasson, A Bouaine, N Brihi, AM Chack, G Chai, HH Chen, Z Chen, ... Jia 500, 23, 0 | | |
