{"id":175,"date":"2025-08-11T09:10:14","date_gmt":"2025-08-11T00:10:14","guid":{"rendered":"http:\/\/localhost:8080\/achievement\/achievement-paper-2025-029\/"},"modified":"2026-04-28T21:29:56","modified_gmt":"2026-04-28T12:29:56","slug":"presentation-wada-20250807","status":"publish","type":"achievement","link":"https:\/\/www.med.osaka-u.ac.jp\/pub\/hp-info\/achievement\/presentation-wada-20250807\/","title":{"rendered":"Improving MedDRA\/J Coding Accuracy with a Fine-Tuned Text Embedding Model"},"content":{"rendered":"\n

\u3072\u3068\u3053\u3068\u3067\u8a00\u3046\u3068<\/h2>\n\n\n\n

\u8f9e\u66f8\u306b\u305d\u306e\u307e\u307e\u8f09\u3063\u3066\u3044\u306a\u3044\u6709\u5bb3\u4e8b\u8c61\u306e\u8a00\u3044\u63db\u3048\u30fb\u540c\u7fa9\u8a9e\u30fb\u53e3\u8a9e\u8868\u73fe\u3092\u3001\u81ea\u7136\u8a00\u8a9e\u51e6\u7406\u30e2\u30c7\u30eb\u306b\u3088\u3063\u3066\u9069\u5207\u306aMedDRA\/J\u7528\u8a9e\u5019\u88dc\u3078\u7d50\u3073\u3064\u3051\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u696d\u52d9\u306e\u52b9\u7387\u5316\u3092\u76ee\u6307\u3057\u305f\u7814\u7a76\u3067\u3059\u3002<\/p>\n\n\n\n

Keywords<\/h4>\n\n\n\n

\u81ea\u7136\u8a00\u8a9e\u51e6\u7406, AI\uff08\u6a5f\u68b0\u5b66\u7fd2\uff09, \u533b\u7642\u5f93\u4e8b\u8005\u652f\u63f4, \u533b\u7642\u60c5\u5831DB, pharmacovigilance<\/p>\n\n\n\n

\u306a\u305c\u3053\u306e\u7814\u7a76\u3092\u3057\u305f\u306e\u304b<\/h2>\n\n\n\n

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\u3057\u304b\u3057\u3001\u5b9f\u969b\u306e\u5831\u544a\u3067\u306f\u300c\u80c3\u304c\u75db\u3044\u300d\u306e\u3088\u3046\u306a\u53e3\u8a9e\u7684\u306a\u8868\u73fe\u3084\u3001\u8f9e\u66f8\u306b\u305d\u306e\u307e\u307e\u5b58\u5728\u3057\u306a\u3044\u8a00\u3044\u63db\u3048\u8868\u73fe\u304c\u591a\u304f\u542b\u307e\u308c\u307e\u3059\u3002\u65e2\u5b58\u306eMedDRA\/J\u691c\u7d22\u30c4\u30fc\u30eb\u306f\u5b8c\u5168\u4e00\u81f4\u3084\u90e8\u5206\u4e00\u81f4\u306b\u306f\u5bfe\u5fdc\u3057\u3066\u3044\u307e\u3059\u304c\u3001\u3053\u3046\u3057\u305f\u8868\u73fe\u306e\u63fa\u308c\u306b\u306f\u5f31\u304f\u3001\u62c5\u5f53\u8005\u304c\u9069\u5207\u306a\u7528\u8a9e\u3092\u601d\u3044\u51fa\u3057\u3066\u691c\u7d22\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u672c\u7814\u7a76\u306f\u3001\u3053\u306e\u4f5c\u696d\u8ca0\u62c5\u3092\u6e1b\u3089\u3057\u3001\u3088\u308a\u6b63\u78ba\u306bMedDRA\/J\u7528\u8a9e\u3092\u691c\u7d22\u3067\u304d\u308b\u3088\u3046\u306b\u3059\u308b\u3053\u3068\u3092\u76ee\u7684\u3068\u3057\u3066\u3044\u307e\u3059\u3002<\/p>\n\n\n\n

\u3069\u3046\u8abf\u3079\u305f\u304b<\/h2>\n\n\n\n

MedDRA\/J ver. 27.0\u306e\u7528\u8a9e\u3068\u3001\u5869\u91ce\u7fa9\u88fd\u85ac\u306e\u793e\u5185\u6709\u5bb3\u4e8b\u8c61\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u7528\u3044\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u793e\u5185\u30c7\u30fc\u30bf\u306b\u306f\u3001\u6709\u5bb3\u4e8b\u8c61\u306e\u8868\u73fe\u3068MedDRA\/J\u306e\u6700\u4e0b\u5c64\u8a9e\uff08LLT\uff09\u3068\u306e\u5bfe\u5fdc\u304c\u542b\u307e\u308c\u3066\u304a\u308a\u3001MedDRA\/J\u306b\u5143\u304b\u3089\u542b\u307e\u308c\u308b\u7d44\u307f\u5408\u308f\u305b\u3092\u9664\u3044\u305f\u3046\u3048\u3067\u300171,813\u4ef6\u306e\u8868\u73fe\u30fbLLT\u30b3\u30fc\u30c9\u306e\u7d44\u307f\u5408\u308f\u305b\u300145,395\u7a2e\u985e\u306e\u6709\u5bb3\u4e8b\u8c61\u8868\u73fe\u3092\u89e3\u6790\u5bfe\u8c61\u3068\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u6bd4\u8f03\u5bfe\u8c61\u3068\u3057\u3066\u3001\u90e8\u5206\u4e00\u81f4\u691c\u7d22\u3092\u6a21\u3057\u305fJaccard index\u3001Word2Vec\u3001GLuCoSE v1\u3001GLuCoSE v2\u3092\u7528\u3044\u3001\u3055\u3089\u306bGLuCoSE v2\u3092MedDRA\/J\u7528\u8a9e\u3068\u793e\u5185\u30c7\u30fc\u30bf\u3067\u8ffd\u52a0\u5b66\u7fd2\u3057\u305f\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u307e\u305f\u3001\u691c\u7d22\u7d50\u679c\u306e\u4e0a\u4f4d\u5019\u88dc\u3092\u3055\u3089\u306b\u4e26\u3079\u66ff\u3048\u308b\u65b9\u6cd5\u3068\u3057\u3066\u3001\u5927\u898f\u6a21\u8a00\u8a9e\u30e2\u30c7\u30eb\uff08LLM\uff09\u306b\u3088\u308b\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u3082\u691c\u8a0e\u3057\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u4f55\u304c\u308f\u304b\u3063\u305f\u304b<\/h2>\n\n\n\n

\u793e\u5185\u30c7\u30fc\u30bf\u3092\u7528\u3044\u3066\u8ffd\u52a0\u5b66\u7fd2\u3057\u305fGLuCoSE v2\u30e2\u30c7\u30eb\u306f\u3001\u5f93\u6765\u624b\u6cd5\u3088\u308a\u9ad8\u3044\u6027\u80fd\u3092\u793a\u3057\u307e\u3057\u305f\u300250,000\u4ef6\u306e\u793e\u5185\u30c7\u30fc\u30bf\u3092\u7528\u3044\u305f\u5834\u5408\u3001nDCG@20\u306f76.2%\u3001Recall@20\u306f90.8%\u3001Recall@100\u306f95.4%\u3067\u3057\u305f\u3002<\/p>\n\n\n\n

\u307e\u305f\u3001\u793e\u5185\u30c7\u30fc\u30bf\u3092\u691c\u7d22\u5bfe\u8c61\u306b\u52a0\u3048\u308b\u3053\u3068\u81ea\u4f53\u304c\u6027\u80fd\u5411\u4e0a\u306b\u5927\u304d\u304f\u5bc4\u4e0e\u3057\u3066\u304a\u308a\u3001\u6700\u65b0\u30e2\u30c7\u30eb\u3092\u5c0e\u5165\u3059\u308b\u3060\u3051\u3067\u306a\u304f\u3001\u73fe\u5834\u3067\u84c4\u7a4d\u3055\u308c\u305f\u5b9f\u30c7\u30fc\u30bf\u3092\u6d3b\u7528\u3059\u308b\u3053\u3068\u306e\u91cd\u8981\u6027\u304c\u793a\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\"\"
Effect of in-house database volume on model performance metrics (nDCG@20, Recall@20, Recall@100) across methods.<\/figcaption><\/figure>\n\n\n\n

LLM\u306b\u3088\u308b\u30ea\u30e9\u30f3\u30ad\u30f3\u30b0\u3067\u306f\u3001\u521d\u671f\u691c\u7d22\u306720\u4f4d\u304b\u3089100\u4f4d\u306b\u5165\u3063\u3066\u3044\u305f\u96e3\u3057\u3044\u75c7\u4f8b\u306b\u3064\u3044\u3066\u3001\u9069\u5207\u306aLLT\u5019\u88dc\u3092\u4e0a\u4f4d\u306b\u62bc\u3057\u4e0a\u3052\u3089\u308c\u308b\u53ef\u80fd\u6027\u304c\u793a\u3055\u308c\u307e\u3057\u305f\u3002<\/p>\n\n\n\n

\u306a\u305c\u5927\u4e8b\u306a\u306e\u304b<\/h2>\n\n\n\n

MedDRA\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306f\u3001\u533b\u85ac\u54c1\u306e\u5b89\u5168\u6027\u60c5\u5831\u3092\u6b63\u78ba\u306b\u96c6\u8a08\u30fb\u5831\u544a\u3059\u308b\u305f\u3081\u306e\u57fa\u76e4\u3067\u3059\u3002<\/p>\n\n\n\n

\u3053\u306e\u7814\u7a76\u306f\u3001\u73fe\u5834\u3067\u4f7f\u308f\u308c\u308b\u81ea\u7136\u306a\u65e5\u672c\u8a9e\u8868\u73fe\u3092\u3001\u6a19\u6e96\u5316\u3055\u308c\u305fMedDRA\/J\u7528\u8a9e\u3078\u3088\u308a\u6b63\u78ba\u306b\u5bfe\u5fdc\u3065\u3051\u308b\u65b9\u6cd5\u3092\u793a\u3057\u307e\u3057\u305f\u3002\u3053\u308c\u306b\u3088\u308a\u3001\u62c5\u5f53\u8005\u306e\u691c\u7d22\u8ca0\u62c5\u3092\u6e1b\u3089\u3057\u3001\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u306e\u3070\u3089\u3064\u304d\u3092\u6291\u3048\u3001\u533b\u85ac\u54c1\u5b89\u5168\u6027\u76e3\u8996\u306e\u8cea\u3092\u9ad8\u3081\u308b\u3053\u3068\u304c\u671f\u5f85\u3055\u308c\u307e\u3059\u3002<\/p>\n\n\n\n

\u3055\u3089\u306b\u3001ICD\u3084SNOMED CT\u306a\u3069\u3001\u4ed6\u306e\u533b\u7642\u7528\u8a9e\u4f53\u7cfb\u3078\u306e\u5fdc\u7528\u53ef\u80fd\u6027\u3082\u3042\u308a\u307e\u3059\u3002<\/p>\n\n\n\n

\u6b21\u306b\u76ee\u6307\u3059\u3053\u3068<\/h2>\n\n\n\n

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