{"id":1065,"date":"2017-12-26T23:44:52","date_gmt":"2017-12-26T14:44:52","guid":{"rendered":"https:\/\/plaza.umin.ac.jp\/~OIO\/?p=1065"},"modified":"2024-04-27T12:26:28","modified_gmt":"2024-04-27T03:26:28","slug":"bcpnn-potential-safety-signal-of-medical-product","status":"publish","type":"post","link":"https:\/\/plaza.umin.ac.jp\/~OIO\/?p=1065","title":{"rendered":"BCPNN – Potential Safety Signal of Medical Product"},"content":{"rendered":"

BCPNN\u306b\u3064\u3044\u3066<\/h2>\n

BCPNN (A Bayesian Confidence Neural Network) 1<\/sup><\/span>\u306e\u96c6\u8a08\u624b\u6cd5\u306b\u3064\u3044\u3066\u6982\u8981\u3092\u8a18\u3057\u307e\u3059\u3002\u305d\u306e\u4f8b\u3068\u3057\u3066\u3001PMDA (Pharmaceuticals and Medical Devices Agency)\u304c\u516c\u958b\u3059\u308bJADER (Japanese Adverse Drug Event Report database) \u30c7\u30fc\u30bf\u30d9\u30fc\u30b9<\/a>\u3067\u3001WHO\u304c\u4f7f\u7528\u3059\u308b\u30b7\u30b0\u30ca\u30eb\u691c\u51fa\u306e\u624b\u6cd5\u3067\u3042\u308bBCPNN \u00a0(A Bayesian Confidence Neural Network) 1<\/sup><\/span>\u3092\u8a08\u7b97\u3057\u307e\u3057\u305f\u3002\u7d50\u679c\u306f\u3053\u3061\u3089\u306e\u30da\u30fc\u30b8<\/a>\u306b\u793a\u3057\u307e\u3059\u3002<https:\/\/wp.me\/P9b6zl-gt><\/p>\n

BCPNN\u3092SQL\u3067\u30c7\u30fc\u30bf\u96c6\u8a08<\/h2>\n

SELECT Drug201711.\u8b58\u5225\u756a\u53f7, Drug201711.\u533b\u85ac\u54c1\uff08\u4e00\u822c\u540d\uff09, Drug201711.\u533b\u85ac\u54c1\u306e\u95a2\u4e0e, Reac201711.\u6709\u5bb3\u4e8b\u8c61 INTO [0010 AnalysisLineList]
\nFROM Drug201711 INNER JOIN Reac201711 ON Drug201711.\u8b58\u5225\u756a\u53f7 = Reac201711.\u8b58\u5225\u756a\u53f7
\nGROUP BY Drug201711.\u8b58\u5225\u756a\u53f7, Drug201711.\u533b\u85ac\u54c1\uff08\u4e00\u822c\u540d\uff09, Drug201711.\u533b\u85ac\u54c1\u306e\u95a2\u4e0e, Reac201711.\u6709\u5bb3\u4e8b\u8c61
\nHAVING (((Drug201711.\u533b\u85ac\u54c1\u306e\u95a2\u4e0e)=”\u88ab\u7591\u85ac”));<\/p><\/blockquote>\n

SELECT [0010 AnalysisLineList].\u533b\u85ac\u54c1\uff08\u4e00\u822c\u540d\uff09 AS drug, [0010 AnalysisLineList].\u6709\u5bb3\u4e8b\u8c61 AS event, Count([0010 AnalysisLineList].\u8b58\u5225\u756a\u53f7) AS \u8b58\u5225\u756a\u53f7\u306e\u30ab\u30a6\u30f3\u30c8 INTO [0020 PhViDdata]
\nFROM [0010 AnalysisLineList]
\nGROUP BY [0010 AnalysisLineList].\u533b\u85ac\u54c1\uff08\u4e00\u822c\u540d\uff09, [0010 AnalysisLineList].\u6709\u5bb3\u4e8b\u8c61;<\/p><\/blockquote>\n

\u5143\u30c7\u30fc\u30bf\u306b\u5165\u3063\u3066\u3044\u308b\u300e”\u300f\u306e\u69d8\u306a\u4f59\u8a08\u306a\u3054\u307f\u3092\u524a\u9664\u3057\u3066\u3001\u3064\u304e\u306e\uff32\u30b9\u30af\u30ea\u30d7\u30c8\u3078<\/p>\n

R\u3092\u7528\u3044\u305fBCPNN\u306b\u3088\u308b\u30c7\u30fc\u30bf\u30de\u30a4\u30cb\u30f3\u30b0<\/h2>\n

setwd(“C:\/Users\/Oshima\/Documents\/2017\/PMDA”)
\nlibrary(PhViD)<\/p>\n

JADERdata <- read.csv(“0020PhViDdata.csv”, head=T)
\nPhViDdata <- as.PhViD(JADERdata)
\nres <- BCPNN(PhViDdata, MIN.n11=3, DECISION = 3,
\nRANKSTAT = 2)<\/p>\n

write.table(res$ALLSIGNALS, “BCPNN_out.csv”, quote=F, col.names=T, append=F, sep=”,”)<\/p><\/blockquote>\n

\u672c\u8cea\u7684\u306b\u306f\u3053\u308c\u3067\uff2f\uff2b\u3002BCPNN\u3067\u306f\u306a\u3044\u3001\u540c\u69d8\u306e\u624b\u6cd5\u3067\u3042\u308bGPS\u3067\u3082ROR\u3082\u51fa\u529b\u3067\u304d\u307e\u3059\u304c\u3001\u305d\u306e\u8fba\u306e\u8a2d\u5b9a\u3092\u5909\u3048\u308b\u5834\u5408\u306f\uff30\uff48\uff36\uff49\uff24\u306e\u53d6\u8aac<\/a>\u53c2\u7167\u3002\u307e\u305f\u3001WHO\u306f\u30b7\u30b0\u30ca\u30eb\u691c\u51fa\u306b\u7528\u3044\u308b\u624b\u6cd5\u306e\u8ef8\u8db3\u3092BCPNN\u304b\u3089\u3001vigiRank\u3068\u3044\u3046\u624b\u6cd5\u306b\u79fb\u3057\u3066\u304d\u3066\u3044\u308b<\/a>\u6a21\u69d8\u3067\u3059\u3002<\/p>\n

\u4ee5\u524d\u306es\u793e\u306b\u3044\u305f\u3068\u304d\u306b\u3001\u3053\u308c\u3068\u540c\u3058\u52d5\u4f5c\u3092\u3059\u308b\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u3001\uff26\u793e\u304c\u300c\u672c\u5f53\u306a\u3089\u5104\u306e\u4fa1\u5024\u304c\u3042\u308b\u30e4\u30c4\u3060\u304c\u3001\u4e00\u7dd2\u306b\u958b\u767a\u3057\u3066\u3082\u3089\u3046\u3053\u3068\u3092\u524d\u63d0\u306b2000\u4e07\u5186\u307b\u3069\u3067\u958b\u767a\u3057\u307e\u3059\u3088\u300d\u3068\u6301\u3061\u304b\u3051\u3066\u304d\u307e\u3057\u305f\u3002\u4ee5\u524d\u3088\u308a\u3053\u3093\u306a\u611f\u3058\u306e\u30b9\u30af\u30ea\u30d7\u30c8\u3092\u81ea\u5206\u3067\u4f5c\u3063\u3066\u30c7\u30fc\u30bf\u3092\u898b\u3066\u3044\u307e\u3057\u305f\u304b\u3089\u3001\u5f53\u7136\u304a\u65ad\u308a\u3057\u307e\u3057\u305f\u3002<\/p>\n

Reference<\/h4>\n
\n
\n
\n
\n
1.<\/div>\n
Bate A, Lindquist M, Edwards I, et al. A Bayesian neural network method for adverse drug reaction signal generation. Eur J Clin Pharmacol<\/i>. 1998;54(4):315-321. [PubMed<\/a>]<\/span><\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

BCPNN\u306b\u3064\u3044\u3066 BCPNN (A Bayesian Confidence Neural Network) 1\u306e\u96c6\u8a08\u624b\u6cd5\u306b\u3064\u3044\u3066\u6982\u8981\u3092\u8a18\u3057\u307e\u3059\u3002\u305d\u306e\u4f8b\u3068\u3057\u3066\u3001PMDA (Pharmaceuticals and Medi…<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[5],"tags":[],"class_list":["post-1065","post","type-post","status-publish","format-standard","hentry","category-miscellaneous"],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p9b6zl-hb","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/posts\/1065","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1065"}],"version-history":[{"count":1,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/posts\/1065\/revisions"}],"predecessor-version":[{"id":3498,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=\/wp\/v2\/posts\/1065\/revisions\/3498"}],"wp:attachment":[{"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1065"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1065"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/plaza.umin.ac.jp\/~OIO\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1065"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}