Semisupervised Learning Based Disease-Symptom and Symptom-Therapeutic Substance Relation Extraction from Biomedical Literature

<table class="table-group" id="tab9"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Symptom</td><td class="align_center">Therapeutic substance</td><td class="align_center">Sentence</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left" rowspan="3">C0028778 (block)</td><td class="align_center">C0017302 (general anesthetic agents)</td><td class="align_center">Use-dependent conduction <i>C0028778</i> produced by volatile <i>C0017302</i></td></tr><tr><td class="align_center">C0006400 (bupivacaine)</td><td class="align_center">Epidural ropivacaine is known to produce less motor <i>C0028778</i> compared to <i>C0006400</i> at anaesthetic concentrations</td></tr><tr><td class="align_center">C0053241 (benzoquinone)</td><td class="align_center">In contrast, <i>C0053241</i> and hydroquinone led to g2-<i>C0028778</i> rather than to a mitotic arrest</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Some symptom-therapeutic substance relations extracted from biomedical literature.

BioMed Research International

tab9

Table 9

Table 9: Semisupervised Learning Based Disease-Symptom and Symptom-Therapeutic Substance Relation Extraction from Biomedical Literature 