| Detecting developmental delay and autism through machine learning models using home videos of Bangladeshi children: Development and validation study Q Tariq, SL Fleming, JN Schwartz, K Dunlap, C Corbin, P Washington, ... Journal of medical Internet research 21 (4), e13822, 2019 | 71* | 2019 |
| Automated classification of radiographic knee osteoarthritis severity using deep neural networks KA Thomas, Ł Kidziński, E Halilaj, SL Fleming, GR Venkataraman, ... Radiology: Artificial Intelligence 2 (2), e190065, 2020 | 61 | 2020 |
| Ontology-driven weak supervision for clinical entity classification in electronic health records JA Fries, E Steinberg, S Khattar, SL Fleming, J Posada, A Callahan, ... Nature communications 12 (1), 2017, 2021 | 48 | 2021 |
| Assessing the accuracy of automatic speech recognition for psychotherapy AS Miner, A Haque, JA Fries, SL Fleming, DE Wilfley, G Terence Wilson, ... NPJ digital medicine 3 (1), 82, 2020 | 38 | 2020 |
| Mapping neural circuit biotypes to symptoms and behavioral dimensions of depression and anxiety AN Goldstein-Piekarski, TM Ball, Z Samara, BR Staveland, AS Keller, ... Biological Psychiatry, 2020 | 27 | 2020 |
| Systematic review of approaches to preserve machine learning performance in the presence of temporal dataset shift in clinical medicine LL Guo, SR Pfohl, J Fries, J Posada, SL Fleming, C Aftandilian, N Shah, ... Applied clinical informatics 12 (04), 808-815, 2021 | 20 | 2021 |
| Test-retest reliability of the human functional connectome over consecutive days: identifying highly reliable portions and assessing the impact of methodological choices L Tozzi, SL Fleming, ZD Taylor, CD Raterink, LM Williams Network Neuroscience 4 (3), 925-945, 2020 | 14 | 2020 |
| Evaluating treatment prioritization rules via rank-weighted average treatment effects S Yadlowsky, S Fleming, N Shah, E Brunskill, S Wager arXiv preprint arXiv:2111.07966, 2021 | 13 | 2021 |
| Intrinsic reward circuit connectivity profiles underlying symptom and quality of life outcomes following antidepressant medication: a report from the iSPOT-D trial AS Fischer, B Holt-Gosselin, SL Fleming, LM Hack, TM Ball, ... Neuropsychopharmacology 46 (4), 809-819, 2021 | 8 | 2021 |
| Reinforcement learning with state observation costs in action-contingent noiselessly observable markov decision processes HJA Nam, S Fleming, E Brunskill Advances in Neural Information Processing Systems 34, 15650-15666, 2021 | 7 | 2021 |
| EHR foundation models improve robustness in the presence of temporal distribution shift LL Guo, E Steinberg, SL Fleming, J Posada, J Lemmon, SR Pfohl, N Shah, ... Scientific Reports 13 (1), 3767, 2023 | 4 | 2023 |
| Intrinsic Connectivity and Family Dynamics: Striatolimbic Markers of Risk and Resilience in Youth at Familial Risk for Mood Disorders AS Fischer, B Holt-Gosselin, KE Hagan, SL Fleming, AF Nimarko, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 7 (9), 855-866, 2022 | 3 | 2022 |
| Considerations in the reliability and fairness audits of predictive models for advance care planning JH Lu, A Sattler, S Wang, AR Khaki, A Callahan, SL Fleming, R Fong, ... medRxiv, 2022.07. 10.22275967, 2022 | 3 | 2022 |
| Missingness as Stability: Understanding the Structure of Missingness in Longitudinal EHR data and its Impact on Reinforcement Learning in Healthcare SL Fleming, K Jeyapragasan, T Duan, D Ding, S Gombar, N Shah, ... arXiv preprint arXiv:1911.07084, 2019 | 3 | 2019 |
| A computational approach to measure the linguistic characteristics of psychotherapy timing, responsiveness, and consistency AS Miner, SL Fleming, A Haque, JA Fries, T Althoff, DE Wilfley, WS Agras, ... npj Mental Health Research 1 (1), 19, 2022 | 2* | 2022 |
| Treatment heterogeneity with survival outcomes Y Xu, N Ignatiadis, E Sverdrup, S Fleming, S Wager, N Shah arXiv preprint arXiv:2207.07758, 2022 | 2 | 2022 |
| Performance of a Commonly Used Pressure Injury Risk Model under Changing Incidence SL Fleming, KH McFarlane, I Thapa, AK Johnson, JF Kruger, AY Shin, ... The Joint Commission Journal on Quality and Patient Safety, 2021 | 2 | 2021 |
| Perspective Toward Machine Learning Implementation in Pediatric Medicine: Mixed Methods Study N Alexander, C Aftandilian, LL Guo, E Plenert, J Posada, J Fries, ... JMIR Medical Informatics 10 (11), e40039, 2022 | 1 | 2022 |
| Monitoring approaches for a pediatric chronic kidney disease machine learning model KE Morse, C Brown, S Fleming, I Todd, A Powell, A Russell, D Scheinker, ... Applied Clinical Informatics 13 (02), 431-438, 2022 | 1 | 2022 |
| Evaluation of Feature Selection Methods for Preserving Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine J Lemmon, LL Guo, J Posada, SR Pfohl, J Fries, SL Fleming, C Aftandilian, ... Methods of Information in Medicine 62 (01/02), 060-070, 2023 | | 2023 |
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityVerified email at stanford.edu
