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Helen Zhou
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Enhanced twitter sentiment classification using contextual information
S Vosoughi, H Zhou, D Roy
arXiv preprint arXiv:1605.05195, 2016
642016
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
522020
Digital stylometry: Linking profiles across social networks
S Vosoughi, H Zhou, D Roy
Social Informatics: 7th International Conference, SocInfo 2015, Beijing …, 2015
312015
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
132020
Domain Adaptation under Missingness Shift
H Zhou, S Balakrishnan, Z Lipton
International Conference on Artificial Intelligence and Statistics, 9577-9606, 2023
82023
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
7*2020
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, 2021
62021
Enhanced Twitter sentiment classification using contextual information
S Vosoughi, H Zhou
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity …, 0
5
AMR-UTI: antimicrobial resistance in urinary tract infections (version 1.0. 0)
M Oberst, S Boominathan, H Zhou, S Kanjilal, D Sontag
Physionet, 2020
42020
Evaluating Model Performance in Medical Datasets Over Time
H Zhou, Y Chen, Z Lipton
Conference on Health, Inference, and Learning, 498-508, 2023
32023
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
32023
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
22023
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
22022
REACT: Two Datasets for Analyzing Both Human Reactions and Evaluative Feedback to Robots Over Time
K Candon, NC Georgiou, H Zhou, S Richardson, Q Zhang, B Scassellati, ...
arXiv preprint arXiv:2402.00190, 2024
12024
Business Metric-Aware Forecasting for Inventory Management
H Zhou, SO Arik, J Wang
arXiv preprint arXiv:2308.13118, 2023
12023
Model evaluation in medical datasets over time
H Zhou, Y Chen, ZC Lipton
arXiv preprint arXiv:2211.07165, 2022
12022
Large-scale prediction of patient-level antibiotic resistance: towards clinical decision support for improved antimicrobial stewardship
H Zhou
Massachusetts Institute of Technology, 2018
12018
Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2022 Symposium
S Hegselmann, H Zhou, Y Zhou, J Chien, S Nagaraj, N Hulkund, S Bhave, ...
1
Do You See What I See? A Comparison of Radiologist Eye Gaze to Computer Vision Saliency Maps for Chest X-ray Classification
J Kim, H Zhou, Z Lipton
ICML Interpretable Machine Learning for Health Workshop 2021, 0
1*
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
2024
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