Jason Fries
Stanford University(US)
Publications by Year
Research Areas
Machine Learning in Healthcare, Topic Modeling, Artificial Intelligence in Healthcare and Education, Electronic Health Records Systems, Natural Language Processing Techniques
Most-Cited Works
- → Snorkel(2017)736 cited
- → Multitask Prompted Training Enables Zero-Shot Task Generalization(2021)561 cited
- → Testing and Evaluation of Health Care Applications of Large Language Models(2024)347 cited
- → Snorkel: rapid training data creation with weak supervision(2019)335 cited
- → The shaky foundations of large language models and foundation models for electronic health records(2023)255 cited
- → PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts(2022)159 cited
- → Language models are an effective representation learning technique for electronic health record data(2020)116 cited
- → Weakly supervised classification of aortic valve malformations using unlabeled cardiac MRI sequences(2019)94 cited
- → SwellShark: A Generative Model for Biomedical Named Entity Recognition without Labeled Data(2017)90 cited
- → Ontology-driven weak supervision for clinical entity classification in electronic health records(2021)89 cited