Temporal History of Your Medical Events
Our goal is automatically extracting the timeline of a disease and its treatment from patient records. This benefits individual patients and their doctors by providing quick, accurate summaries of a patient’s history covering several years. Moreover, aggregating together timelines for large numbers of patients can also aid in analyzing the effectiveness of alternative treatments and the development of new treatments, benefitting all patients.
Ever increasing amounts of electronic clinical data and medical subspecialization hinder the ability of doctors and patients to stay on top of all aspects of a patient’s medical history.
Natural Language Processing can automatically process thousands of patient records in seconds. This allows automatic identification of salient diseases, signs, symptoms, and treatments, while preserving the timeline of the patient’s medical history.
- Annotation of Temporal Relations Between Events
- Annotation and Parsing of Abstract Meaning Representations
- Coreference Annotation and Resolution
- Entity & Event Annotation & Recognition