| 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 | 295 | 2023 |
| Predicting age groups of Twitter users based on language and metadata features AA Morgan-Lopez, AE Kim, RF Chew, P Ruddle PloS one 12 (8), e0183537, 2017 | 95 | 2017 |
| Deep neural networks and transfer learning for food crop identification in UAV images R Chew, J Rineer, R Beach, M O’Neil, N Ujeneza, D Lapidus, T Miano, ... Drones 4 (1), 7, 2020 | 78 | 2020 |
| Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program MD Brannock, RF Chew, AJ Preiss, EC Hadley, S Redfield, JA McMurry, ... Nature communications 14 (1), 2914, 2023 | 67 | 2023 |
| Underutilization and disparities in access to EGFR testing among Medicare patients with lung cancer from 2010 – 2013 JA Lynch, B Berse, M Rabb, P Mosquin, R Chew, SL West, N Coomer, ... BMC cancer 18, 1-13, 2018 | 61 | 2018 |
| Classification of Twitter users who tweet about e-cigarettes A Kim, T Miano, R Chew, M Eggers, J Nonnemaker JMIR public health and surveillance 3 (3), e8060, 2017 | 51 | 2017 |
| Estimated ages of JUUL Twitter followers AE Kim, R Chew, M Wenger, M Cress, T Bukowski, M Farrelly, E Hair JAMA pediatrics 173 (7), 690-692, 2019 | 37 | 2019 |
| Residential scene classification for gridded population sampling in developing countries using deep convolutional neural networks on satellite imagery RF Chew, S Amer, K Jones, J Unangst, J Cajka, J Allpress, M Bruhn International Journal of Health Geographics 17, 1-17, 2018 | 31 | 2018 |
| LLM-assisted content analysis: Using large language models to support deductive coding R Chew, J Bollenbacher, M Wenger, J Speer, A Kim arXiv preprint arXiv:2306.14924, 2023 | 25 | 2023 |
| The public health impact of different microbiological criteria approaches for Salmonella in chicken parts E Lambertini, JM Ruzante, R Chew, VL Apodaca, BB Kowalcyk Microbial Risk Analysis 12, 44-59, 2019 | 25 | 2019 |
| SMART: an open source data labeling platform for supervised learning R Chew, M Wenger, C Kery, J Nance, K Richards, E Hadley, ... Journal of Machine Learning Research 20 (82), 1-5, 2019 | 16 | 2019 |
| Subgroups of failure after surgery for pelvic organ prolapse and associations with quality of life outcomes: a longitudinal cluster analysis JE Jelovsek, MG Gantz, ES Lukacz, HM Zyczynski, A Sridhar, C Kery, ... American journal of obstetrics and gynecology 225 (5), 504. e1-504. e22, 2021 | 13 | 2021 |
| Predicting age groups of Reddit users based on posting behavior and metadata: classification model development and validation R Chew, C Kery, L Baum, T Bukowski, A Kim, M Navarro JMIR Public Health and Surveillance 7 (3), e25807, 2021 | 12 | 2021 |
| Identification of bicycling periods using the MicroPEM personal exposure monitor R Chew, J Thornburg, D Jack, C Smith, Q Yang, S Chillrud Sensors 19 (21), 4613, 2019 | 12 | 2019 |
| Patterns of Twitter behavior among networks of cannabis dispensaries in California NC Peiper, PM Baumgartner, RF Chew, YP Hsieh, GS Bieler, ... Journal of medical Internet research 19 (7), e236, 2017 | 12 | 2017 |
| Anesthesia Staffing Models and Geographic Prevalence Post-Medicare CRNA/Physician Exemption Policy. NM Coomer, A Mills, C Beadles, E Gillen, R Chew, JA Quraishi Nursing Economic$ 37 (2), 2019 | 10 | 2019 |
| Toward model-generated household listing in low-and middle-income countries using deep learning R Chew, K Jones, J Unangst, J Cajka, J Allpress, S Amer, K Krotki ISPRS international journal of geo-information 7 (11), 448, 2018 | 9 | 2018 |
| Effect of Nirmatrelvir/Ritonavir (Paxlovid) on Hospitalization among Adults with COVID-19: an EHR-based Target Trial Emulation from N3C A Bhatia, AJ Preiss, X Xiao, MD Brannock, GC Alexander, RF Chew, ... medRxiv, 2023 | 6 | 2023 |
| SARS-CoV-2 reinfection is preceded by unique biomarkers and related to initial infection timing and severity: An N3C RECOVER EHR-based cohort study E Hadley, YJ Yoo, S Patel, A Zhou, B Laraway, R Wong, A Preiss, R Chew, ... MedRxiv, 2023 | 6 | 2023 |
| Machine learning for medical coding in health care surveys CA Lucas, E Hadley, J Nance, P Baumgartner, R Thissen, DM Plotner, ... | 6 | 2021 |
