Patent ID: 11915828
Assignee: DANA-FARBER CANCER INSTITUTE, INC.
Field: Medical technology (Instruments)
Classification: CPC G | IPC G

Claim 0:
1. A method for identifying a symptom in text data comprising:
A) processing a plurality of free-running text into a segmented text data set;
B) labeling words in the segmented text data set, including one or more symptom terms each associated with a specific symptom and associating a tag and a position with a labeled word, the tag indicating any of a positive, negative, or neutral value relative to the symptom term, wherein a positive value indicates a presence of a symptom term and wherein a negative value indicates an absence of a symptom term and wherein a neutral value indicates no relationship to a symptom term;
C) processing, with the natural language processing algorithm, a first subset of the text data set containing labeled symptom terms; and
D) processing, with the natural language processing algorithm, a second subset of the text data set containing labeled symptom terms.