Augmenting Interviewer Judgments of Patient Experience with Automatic Language Analysis
A clinician-support framework in which post-session interviewer ratings are combined with automatic language-based predictions to estimate patient-reported interaction quality in free clinical interviews is evaluated, suggesting that automatic language analysis and interviewer judgment capture complementary aspects of patient experience.
Ao-Wen Shi, Michal Balazia, Danilo Postin et al.
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