<entry id="2156715" stat="A" corpus="jmdict" type="jmdict">
<ent_corp type="jmdict">jmdict</ent_corp>
<ent_seq>1465030</ent_seq>
<k_ele>
<keb>乳がん</keb>
</k_ele>
<k_ele>
<keb>乳癌</keb>
</k_ele>
<k_ele>
<keb>乳ガン</keb>
</k_ele>
<r_ele>
<reb>にゅうがん</reb>
</r_ele>
<sense>
<pos>&n;</pos>
<field>&med;</field>
<gloss>breast cancer</gloss>
</sense>
<info>
<audit time="2013-07-05 01:07:45" stat="A" unap="true">
<upd_uid>jwb</upd_uid>
<upd_name>Jim Breen</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_detl>The n-gram corpus has a higher count for 乳がん, whereas WWW hits favour 乳癌, The JEs mostly use 乳がん in examples (癌 is not a 常用漢字.)</upd_detl>
<upd_refs>Unidic</upd_refs>
<upd_diff>@@ -4,0 +4,3 @@
+&lt;k_ele&gt;
+&lt;keb&gt;乳がん&lt;/keb&gt;
+&lt;/k_ele&gt;</upd_diff>
</audit>
<audit time="2013-07-05 08:05:07" stat="A">
<upd_uid>pupchurch</upd_uid>
<upd_name>Paul Upchurch</upd_name>
<upd_email>...address hidden...</upd_email>
</audit>
<audit time="2014-11-18 02:37:52" stat="A">
<upd_uid>rene</upd_uid>
<upd_name>Rene Malenfant</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_diff>@@ -14,0 +15 @@
+&lt;field&gt;&amp;med;&lt;/field&gt;</upd_diff>
</audit>
<audit time="2021-11-07 02:21:59" stat="A">
<upd_uid>Marcus</upd_uid>
<upd_name>Marcus Richert</upd_name>
<upd_email>...address hidden...</upd_email>
<upd_refs>乳がん	874380
乳癌	283263
乳ガン	91272</upd_refs>
<upd_diff>@@ -8,0 +9,3 @@
+&lt;/k_ele&gt;
+&lt;k_ele&gt;
+&lt;keb&gt;乳ガン&lt;/keb&gt;</upd_diff>
</audit>
</info>
</entry>