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Doctor XAvIer: Explainable Diagnosis using Physician-Patient Dialogues and XAI Evaluation

2022-04-11 18:38:22
Hillary Ngai, Frank Rudzicz
arXiv_CL
             
Abstract

We introduce Doctor XAvIer, a BERT-based diagnostic system that extracts relevant clinical data from transcribed patient-doctor dialogues and explains predictions using feature attribution methods. We present a novel performance plot and evaluation metric for feature attribution methods: Feature Attribution Dropping (FAD) curve and its Normalized Area Under the Curve (N-AUC). FAD curve analysis shows that integrated gradients outperforms Shapley values in explaining diagnosis classification. Doctor XAvIer outperforms the baseline with 0.97 F1-score in named entity recognition and symptom pertinence classification and 0.91 F1-score in diagnosis classification.

Abstract (translated)

URL

https://arxiv.org/abs/2204.10178

PDF

https://arxiv.org/pdf/2204.10178.pdf

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