| A decision algorithm to promote outpatient antimicrobial stewardship for uncomplicated urinary tract infection S Kanjilal, M Oberst, S Boominathan, H Zhou, DC Hooper, D Sontag Science translational medicine 12 (568), eaay5067, 2020 | 87 | 2020 |
| Enhanced twitter sentiment classification using contextual information S Vosoughi, H Zhou, D Roy arXiv preprint arXiv:1605.05195, 2016 | 67 | 2016 |
| Digital stylometry: Linking profiles across social networks S Vosoughi, H Zhou, D Roy Social Informatics: 7th International Conference, SocInfo 2015, Beijing …, 2015 | 34 | 2015 |
| Treatment policy learning in multiobjective settings with fully observed outcomes S Boominathan, M Oberst, H Zhou, S Kanjilal, D Sontag Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 15 | 2020 |
| Domain Adaptation under Missingness Shift H Zhou, S Balakrishnan, Z Lipton International Conference on Artificial Intelligence and Statistics, 9577-9606, 2023 | 10 | 2023 |
| Mortality Risk Score for Critically Ill Patients with Viral or Unspecified Pneumonia: Assisting Clinicians with COVID-19 ECMO Planning H Zhou, C Cheng, ZC Lipton, GH Chen, JC Weiss Artificial Intelligence in Medicine: 18th International Conference on …, 2020 | 8* | 2020 |
| Evaluating Model Performance in Medical Datasets Over Time H Zhou, Y Chen, Z Lipton Conference on Health, Inference, and Learning, 498-508, 2023 | 7 | 2023 |
| Unpacking the drop in COVID-19 case fatality rates: a study of national and Florida line-level data C Cheng, H Zhou, JC Weiss, ZC Lipton AMIA Annual Symposium Proceedings 2021, 285, 2022 | 6 | 2022 |
| AMR-UTI: antimicrobial resistance in urinary tract infections (version 1.0. 0) M Oberst, S Boominathan, H Zhou, S Kanjilal, D Sontag Physionet, 2020 | 6 | 2020 |
| Predicting severe complications from cytoreductive surgery with hyperthermic intraperitoneal chemotherapy: a data-driven, machine learning approach to Augment clinical judgment MA Adam, H Zhou, J Byrd, AL Greenberg, YM Kelly, L Hall, HL Jones, ... Annals of Surgical Oncology 30 (9), 5433-5442, 2023 | 5 | 2023 |
| AMR-UTI: Antimicrobial resistance in urinary tract infections M Oberst, S Boominathan, H Zhou, S Kanjilal, D Sontag (No Title), 2020 | 5 | 2020 |
| Enhanced Twitter sentiment classification using contextual information S Vosoughi, H Zhou Proceedings of the 6th Workshop on Computational Approaches to Subjectivity …, 0 | 4 | |
| Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium H Jeong, S Jabbour, Y Yang, R Thapta, H Mozannar, WJ Han, ... arXiv preprint arXiv:2403.01628, 2024 | 3 | 2024 |
| Business Metric-Aware Forecasting for Inventory Management H Zhou, SO Arik, J Wang arXiv preprint arXiv:2308.13118, 2023 | 3 | 2023 |
| Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19 H Zhou, C Cheng, K Shields, G Kochhar, T Cheema, Z Lipton, J Weiss AMIA Annual Symposium Proceedings 2022, 2023 | 3 | 2023 |
| 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 | 3 | 2022 |
| Model evaluation in medical datasets over time H Zhou, Y Chen, ZC Lipton arXiv preprint arXiv:2211.07165, 2022 | 2 | 2022 |
| Timing as an Action: Learning When to Observe and Act H Zhou, A Huang, K Azizzadenesheli, D Childers, Z Lipton International Conference on Artificial Intelligence and Statistics, 3979-3987, 2024 | 1 | 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 | 1 | 2023 |
| Large-scale prediction of patient-level antibiotic resistance: towards clinical decision support for improved antimicrobial stewardship H Zhou Massachusetts Institute of Technology, 2018 | 1 | 2018 |
Zachary C. LiptonRaj Reddy Associate Professor of Machine Learning @ Carnegie Mellon University; CTO + CSO @ AbridgeVerified email at cmu.edu
