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Table 4 Sample-level feature importance of sample pair 1 and 2 for both imaging and pathologic report provided by LIME algorithm

From: Detection of medical text semantic similarity based on convolutional neural network

Sample pair No. Imaging report Pathologic report
Word-Chinese Word-English Feature importance of word Word-Chinese Word-English Feature importance of word
1 (Prediction probability = 0.77) 胎膜 Fetal membranes 0.15 胎儿 Fetus 0.12
脐带 Umbilical cord 0.14 胎心 Fetal heart 0.03
胎盘 Placenta 0.06 羊水 Amniotic fluid 0.03
毛发 Hair 0.04 头位 Head position 0.02
小叶 Lobule 0.02 股骨 Femur 0.01
面灰 Face ash 0.01 单胎 Single fetus 0.01
2 (Prediction probability = 0.83) 甲状腺 Thyroid 0.19 甲状腺 Thyroid 0.16
结节 Tubercle 0.15 腺体 Glandular body 0.14
滤泡 Follicular 0.08 右叶 Right lobe 0.07
右叶 Right lobe 0.03 包膜 Envelope 0.03
腺瘤 Adenoma 0.01 回声 Echoes 0.01
切面 Section 0.01 血流 Blood flow 0.01