| Evaluating a widely implemented proprietary deterioration index model among hospitalized patients with COVID-19 K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... Annals of the American Thoracic Society 18 (7), 1129-1137, 2021 | 95* | 2021 |
| Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study F Kamran, S Tang, E Otles, DS McEvoy, SN Saleh, J Gong, BY Li, S Dutta, ... bmj 376, 2022 | 39 | 2022 |
| Estimating calibrated individualized survival curves with deep learning F Kamran, J Wiens Proceedings of the AAAI conference on artificial intelligence 35 (1), 240-248, 2021 | 16 | 2021 |
| When to remember where you came from: node representation learning in higher-order networks C Belth, F Kamran, D Tjandra, D Koutra Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 10 | 2019 |
| Automated loss-of-balance event identification in older adults at risk of falls during real-world walking using wearable inertial measurement units J Hauth, S Jabri, F Kamran, EW Feleke, K Nigusie, LV Ojeda, ... Sensors 21 (14), 4661, 2021 | 9 | 2021 |
| Automatically evaluating balance using machine learning and data from a single inertial measurement unit F Kamran, K Harrold, J Zwier, W Carender, T Bao, KH Sienko, J Wiens Journal of NeuroEngineering and Rehabilitation 18, 1-7, 2021 | 6 | 2021 |
| Evaluation of Sepsis Prediction Models before Onset of Treatment F Kamran, D Tjandra, A Heiler, J Virzi, K Singh, JE King, TS Valley, ... NEJM AI, AIoa2300032, 2024 | 2 | 2024 |
| Noninvasive Estimation of Hydration Status in Athletes Using Wearable Sensors and a Data-Driven Approach Based on Orthostatic Changes F Kamran, VC Le, A Frischknecht, J Wiens, KH Sienko Sensors 21 (13), 4469, 2021 | 2 | 2021 |
| Machine learning for health (ml4h) 2022 A Parziale, M Agrawal, S Tang, K Severson, L Oala, A Subbaswamy, ... Machine Learning for Health, 1-11, 2022 | 1 | 2022 |
| Learning to Rank for Optimal Treatment Allocation Under Resource Constraints F Kamran, M Makar, J Wiens International Conference on Artificial Intelligence and Statistics, 3727-3735, 2024 | | 2024 |
| Machine Learning for Health (ML4H) 2023 S Hegselmann, A Parziale, D Shanmugam, S Tang, K Severson, ... Machine Learning for Health (ML4H), 1-12, 2023 | | 2023 |
| Aligning Machine Learning Solutions with Clinical Needs F Kamran | | 2023 |
| Special Paper: Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study F Kamran, S Tang, E Otles, DS McEvoy, SN Saleh, J Gong, BY Li, S Dutta, ... The BMJ 376, 2022 | | 2022 |
| Supplementary Material for Estimating Calibrated Individualized Survival Curves with Deep Learning F Kamran, J Wiens | | 2021 |
| Validating a Widely Implemented Deterioration Index Model Among Hospitalized COVID-19 Patients (preprint) K Singh, TS Valley, S Tang, BY Li, F Kamran, MW Sjoding, J Wiens, ... | | 2020 |
| Exploiting Spatial and Temporal Invariances when Mining Player Tracking Data in Basketball J Wang, F Kamran, H Wang, J Wiens | | |
