Chapman, Wendy W.

Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions

Chapman, W. W., Nadkarni, P. M., Hirschman, L., D'Avolio, L. W., Savova, G. K., & Uzuner, O. (2011) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 296

Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray Reports

Fiszman, M., Chapman, W. W., Aronsky, D., Evans, R. S., & Haug, P. J. (2000) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 250

A proposed framework on integrating health equity and racial justice into the artificial intelligence development lifecycle

Dankwa-Mullan, I., Scheufele, E. L., Matheny, M. E., Quintana, Y., Chapman, W. W., Jackson, G., & South, B. R. (2021) · Journal of Health Care for the Poor and Underserved

Ethics and Social Impacts of AIArtificial Intelligence in Healthcare and Education

Cited by 108

Recent Advances in Using Natural Language Processing to Address Public Health Research Questions Using Social Media and ConsumerGenerated Data

Conway, M., Hu, M., & Chapman, W. W. (2019) · Yearbook of Medical Informatics

Mental Health via WritingSentiment Analysis and Opinion Mining

Cited by 91

Moonstone: a novel natural language processing system for inferring social risk from clinical narratives

Conway, M., Keyhani, S., Christensen, L., South, B. R., Vali, M., Walter, L. C., Mowery, D. L., Abdelrahman, S., & Chapman, W. W. (2019) · Journal of Biomedical Semantics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 74

Developing a manually annotated clinical document corpus to identify phenotypic information for inflammatory bowel disease

South, B. R., Shen, S., Jones, M., Garvin, J., Samore, M. H., Chapman, W. W., & Gundlapalli, A. V. (2009) · BMC Bioinformatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 51

Adaptation of an NLP system to a new healthcare environment to identify social determinants of health.

Reeves, R. M., Christensen, L., Brown, J. R., Conway, M., Levis, M., Gobbel, G. T., Shah, R. U., Goodrich, C., Ricket, I., Minter, F., et al. (2021) · Journal of Biomedical Informatics

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 45

Virtual monitoring in CF – the importance of continuous monitoring in a multi-organ chronic condition

Vagg, T., Deasy, K. F., Chapman, W. W., Ranganathan, S. C., Plant, B. J., & Shanthikumar, S. (2023) · Frontiers in Digital Health

Mobile Health and mHealth ApplicationsTelemedicine and Telehealth Implementation

Cited by 1