<entry id="2209257" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1713950</ent_seq>
<k_ele>
<keb>対症療法</keb>
<ke_pri>news1</ke_pri>
<ke_pri>nf24</ke_pri>
</k_ele>
<k_ele>
<keb>対象療法</keb>
<ke_inf>&sK;</ke_inf>
</k_ele>
<r_ele>
<reb>たいしょうりょうほう</reb>
<re_pri>news1</re_pri>
<re_pri>nf24</re_pri>
</r_ele>
<sense>
<pos>&n;</pos>
<xref type="see" seq="2087510">原因療法</xref>
<field>&med;</field>
<gloss>symptomatic therapy</gloss>
</sense>
<sense>
<pos>&n;</pos>
<gloss>makeshift solution</gloss>
</sense>
<info>
<audit time="2022-08-10 08:09:12" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>Adding yoji tags based on gakken, shinmeikai and-or jitenon
-*- via bulkupd.py -*-</upd_detl>
<upd_diff>@@ -16,0 +17 @@
+&lt;misc&gt;&amp;yoji;&lt;/misc&gt;</upd_diff>
</audit>
<audit time="2022-09-21 01:24:07" stat="A" unap="true">
<upd_name>Stephen Kraus</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>Daijr/s, shinmeikai, meikyo all contrast with 原因療法.

Daijs, shinmeikai, and obunsha split into two senses.

This is only in gakken's yoji dictionary. I think we can drop the yoji tag.

Google N-gram Corpus Counts
╭─ーーーーーーーーーー─┬────────┬───────╮
│ 対症療法　　　　　　 │ 82,496 │ 98.6% │
│ 対象療法　　　　　　 │    983 │  1.2% │ 🡠 adding (変換ミス)
│ たいしょうりょうほう │    225 │  0.3% │
╰─ーーーーーーーーーー─┴────────┴───────╯</upd_refs>
<upd_diff>@@ -7,0 +8,4 @@
+&lt;/k_ele&gt;
+&lt;k_ele&gt;
+&lt;keb&gt;対象療法&lt;/keb&gt;
+&lt;ke_inf&gt;&amp;sK;&lt;/ke_inf&gt;
@@ -16,2 +20,2 @@
-&lt;pos&gt;&amp;adj-no;&lt;/pos&gt;
-&lt;misc&gt;&amp;yoji;&lt;/misc&gt;
+&lt;xref type="see" seq="2087510"&gt;原因療法&lt;/xref&gt;
+&lt;field&gt;&amp;med;&lt;/field&gt;
@@ -18,0 +23,3 @@
+&lt;/sense&gt;
+&lt;sense&gt;
+&lt;pos&gt;&amp;n;&lt;/pos&gt;</upd_diff>
</audit>
<audit time="2022-09-21 01:27:41" stat="A">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
</info>
</entry>