Sentence examples for classifying consultation from inspiring English sources

However, the studies were undertaken in different countries and used different systems for classifying consultation data making direct comparison difficult.

The algorithm demonstrated excellent performance for classifying consultations as being respiratory-related.

The specificity of the algorithm in classifying consultations as being respiratory-related exceeds that previously reported.

The positive predictive value of the algorithm classifying consultations as being related to specific respiratory diagnostic categories ranged from 0.68 (95% CI 0.40 to 1.00; other respiratory conditions) to 0.91 (95% CI 0.79 to 1.00; throat infections).

The positive predictive value of the algorithm classifying consultations as being related to specific respiratory diagnostic categories ranged from 0.68 (95% CI 0.40 to 1.00; other respiratory conditions) to 0.91 (95% CI 0.79 to 1.00; throat infections; table 3).

The performance of the Algorithm in classifying consultations within the validation gold standard set (set 3) is presented in table 3. The algorithm classified 46%9595% CI 42%to50%0%) of consultations within the validation set as being related to the assessment or management of respiratory illness.

"Obviously, there will have to be detailed classified consultations with Congress" and other governments, the official said.

To classify consultations, the algorithm is designed to interrogate clinical narrative entered as free text, diagnostic (Read) codes created and medications prescribed on the day of the consultation.

We classified consultations as NSPS if physical symptoms diagnoses were coded as the main reason for encounter, and the free-text records suggested that the cause was not-specific (e.g. a girl consulting with headache without objective pathological changes on physical examination and/or diagnostic testing).

Lesions were classified in consultation with an MD pathologist (VM) and compared with IELs in women.

These experts used the same data fields as the algorithm to independently classify each consultation into its appropriate categories according to the hierarchical classification system (figure 1).