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

Claim 11:
12. A method for identifying a symptom in text data comprising:
A) defining a plurality of symptom terms;
B) selecting a text data set including at least a subset of the plurality of defined symptom terms;
C) labeling, in the text data set, defined symptom terms and associating a position of the labeled symptom term within the text data set and further associating a tag indicating any of a positive, negative, or neutral value relative to the labeled 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;
D) processing, with multiple natural language processing algorithms, a first subset of the text data set containing labeled symptom terms to identify a frequency of occurrences of a symptom term in the first subset of the text data;
E) scoring accuracy of the multiple natural language processing algorithms in processing the first subset of the text data; and
F) processing, with a natural language processing algorithm having greatest accuracy in step E), a second subset of the text data set containing labeled symptom terms.