Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining

<table class="table-group" id="tab7"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">No</td><td class="align_center">Identified medical entities</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">双侧腋下扪及黄豆大小淋巴结 (symptom)</td></tr><tr><td class="align_left">2</td><td class="align_center">右肺中叶大片密度增高阴影 (symptom)</td></tr><tr><td class="align_left">3</td><td class="align_center">两肺纹理间可见边界不清的粟粒样微小淡结节影 (symptom)</td></tr><tr><td class="align_left">4</td><td class="align_center">急性心肌梗塞 (disease)</td></tr><tr><td class="align_left">5</td><td class="align_center">结核 PCR 扩增实验 (operation)</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Identifying five examples of long entities by BiModle-fine model.</div>

Journal of Healthcare Engineering

tab7

Table 7

Table 7: Clinical Named Entity Recognition from Chinese Electronic Medical Records Based on Deep Learning Pretraining 