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. Author manuscript; available in PMC: 2020 Jul 1.
Published in final edited form as: Int J Med Inform. 2019 Apr 13;127:27–34. doi: 10.1016/j.ijmedinf.2019.04.009

Table 3.

Levels of output from the NLP system for combination of evidence types.

Combination of evidence types* Output level Percentage %** FP rate %***
A and B and C and D and (E or F or G or H) 1 33.6 0
A and B and C and (E or F or G or H) 2 18.9 11.5
A and B and D and (E or F or G or H) 3 19.6 10.7
A and B and (E or F or G or H) 4 11.2 6.3
(A and C and D and (E or F or G or H)) or (A and H and I) 5 3.5 0
A and C and (E or F or G or H) 6 5.6 37.5
A and D and H 7 0.7 100
A and H and (not J) 8 7.7 81.9
*

The algorithm checks the combination of evidence types from top to bottom, produces an output level, and stops once it finds a match. The combination of evidence types and output levels were manually created based on the performance on the training data until the NLP algorithm achieved 100% sensitivity and specificity.

**

Percentages in NLP positive cases among the validation data.

***

False positive rate in the validation data by NLP output level.