Identification of surgery candidates using natural language processing
AssigneeChildren's Hospital Medical Center
InventorsJohn P. Pestian, Tracy A. Glauser, Katherine D. Holland, Shannon Michelle Standridge, Hansel M. Greiner, Kevin Bretonnel Cohen
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Abstract
The present invention relates to computer-based clinical decision support tools including, computer-implemented methods, computer systems, and computer program products for clinical decision support. These tools assist the clinician in identifying epilepsy patients who are candidates for surgery and utilize a combination of natural language processing, corpus linguistics, and machine learning techniques.
Claims16
1-22. (canceled)
A method for treating an epilepsy patient comprising identifying the patient as a candidates for surgery by a method comprising. classifying, using a computer implemented method selected from a linguistic method and a machine learning method, a set of n-grams extracted from a corpus of clinical text of the epilepsy patient, and outputting, by a computing device, a classification result of “intractable epilepsy” or “non-intractable epilepsy” and treating the epilepsy patient having a classification result of “intractable epilepsy” with surgery.
(canceled)
Dependencies are inferred from the claim text.