Training Program Title
Clinical Natural Language Processing, Some Tasks and Applications in Medicine
CTSA Hub Administered
Training Program Description
In this talk, Professor Savova will position the latest developments in clinical Natural Language Processing (NLP) in the context of the explosive achievements in the broader NLP field. How can clinical NLP advance in the era of data hungry methods? Does it matter how the personally identifiable information is obliterated in clinical text? Prof. Savova will demonstrate how the latest methods are applied to core tasks – information extraction and temporal relation extraction – through some of the translational science initiatives in her lab (Deep Phenotyping for Oncology/DeepPhe, Temporal Histories of Your Medical Events/THYME).
Scientific writing, Biostatistics, Biomedical informatics, Data management, Research study management, Research process, Clinical research interactions, Documentation, Study design, Clinical trial, Clinical research, Biomedical research, Translational research
Digital Commons Disciplines
Biomedical Engineering and Bioengineering | Medical Education | Medicine and Health Sciences | Public Health | Translational Medical Research
Cost to Access
Scientific Concepts and Research Design; Ethical and Participant Safety Considerations; Medicines Development and Regulation; Clinical Trials Operations; Study and Site Management; Data Management and Informatics
- The latest developments in clinical Natural Language Processing (NLP) in the context of the explosive achievements in the broader NLP field.
- How can clinical NLP advance in the era of data hungry methods?
- Does it matter how the personally identifiable information is obliterated in clinical text?
Principal Investigators; Clinical Research Professionals (other than PI); MDs including residents, house officers, fellows, hospitalists; Post-doctoral scholars