{"id":5858,"date":"2024-04-30T14:22:49","date_gmt":"2024-04-30T06:22:49","guid":{"rendered":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=5858"},"modified":"2024-04-30T14:25:22","modified_gmt":"2024-04-30T06:25:22","slug":"11-%e5%be%9e%e9%a0%90%e6%b8%ac%e5%88%b0%e6%b1%ba%e7%ad%96-cm512-2024-02","status":"publish","type":"page","link":"https:\/\/bap2.cm.nsysu.edu.tw\/?page_id=5858","title":{"rendered":"11. \u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56 (CM512 2024.02)"},"content":{"rendered":"
\u55ae\u5143\u5927\u7db1\uff1a<\/b><\/h5>\n
\u25c6 \u6848\u4f8b\uff1a\u9810\u9632\u6027\u91ab\u7642 Predictive Medication<\/h5>\n
\u25a1 \u6574\u7406\u8cc7\u6599\u3001\u5efa\u7acb\u6a21\u578b<\/h5>\n
\u25a1 \u6a21\u578b\u3001\u4fc2\u6578\u8207\u6548\u679c<\/h5>\n
\u25c6 \u6a5f\u7387\u6a21\u578b\u7684\u6e96\u78ba\u6027<\/h5>\n
\u25a1 \u50b3\u7d71\u6e96\u78ba\u6027\u6307\u6a19<\/h5>\n
\u25a1 \u9810\u6e2c\u6a5f\u7387\u5206\u4f48\u3001\u81e8\u754c\u6a5f\u7387\u3001\u6df7\u6dc6\u77e9\u9663<\/h5>\n
\u25a1 \u4f5c\u696d\u66f2\u7dda(ROC)\u8207\u8fa8\u8b58\u7387(AUC)<\/h5>\n
\u25c6 \u9810\u6e2c\u8207\u6c7a\u7b56<\/h5>\n
\u25a1 \u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56<\/h5>\n
\u25a1 \u8a66\u7b97\u671f\u671b\u5831\u916c<\/h5>\n
\u25a1 \u7b56\u7565\u6a21\u64ec<\/h5>\n
\n
\u8ab2\u5802\u7b46\u8a18<\/b>\uff1a<\/b><\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11A \u985e\u5225\u6a21\u578b\u7684\u6e96\u78ba\u6027 Accuracy of Classifiers ( unit11A.html<\/a> )<\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11A \u985e\u5225\u6a21\u578b\u7684\u6e96\u78ba\u6027 Accuracy of Classifiers 2 ( unit11A2.html<\/a> )<\/h5>\n
\u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11B \u9810\u6e2c\u8207\u6c7a\u7b56 Prediction & Decision ( unit11B2.html<\/a> )<\/h5>\n
\n
\u6a21\u64ec\u7a0b\u5f0f\uff1a<\/b><\/h5>\n
\u25c6 DPPSIM.R: DPP, ROC, AUC Simulation (ShinyApp)<\/h5>\n
\u25c6 Sim11B.R: From Prediction to Decision (manipulate)<\/h5>\n
\n
\u7b2c\u5341\u4e00\u55ae\u5143 \u6559\u6750\u4e0b\u8f09\uff1a<\/b><\/h5>\n
\u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/cm512\/<\/a> )<\/h6>\n
\u25c6 Unit11\u55ae\u5143\u8cc7\u6599\u593e ( ~\/cm512\/11\u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56\/<\/a> )<\/h6>\n
\u25c7 11\u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56.pptx<\/h6>\n
\u25c7 unit11_Decision.zip<\/h6>\n
\n
\u7b2c\u5341\u4e00\u5468\u4f5c\u696d\uff1aDue Date\uff1a05\/12 (\u65e5) 23:59<\/b><\/h5>\n
\u25c6 \u500b\u4eba\u4f5c\u696d\uff1a<\/h5>\n
\u25a1 \u5b8c\u6210 unit11A2 \u548c unit11B2 \u88e1\u9762\u7684\u4f5c\u696d\uff0c\u5c07\u5b83\u5011Knit\u6210\u7db2\u9801(.html)<\/h5>\n
\u25a1 \u4ee5\u6a94\u540d\uff1a\u5b78\u865f_unit11A2.html \u3001\u5b78\u865f_unit11B2.html<\/h5>\n
\u25a1 \u4e0a\u50b3\u5230\u3010 ~\/\u500b\u4eba\u4f5c\u696d\/11_decision\/<\/a> \u3011<\/h5>\n
\n
<\/h5>\n
\u5f71\u7247\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6 \u7b2c\u5341\u4e00\u55ae\u5143 \u4e0a\u8ab2\u9304\u5f71<\/h5>\n
\n
\u53c3\u8003\u9023\u7d50\uff1a<\/b><\/h5>\n
\u25c6\u00a0ggpubr: Publication Ready Plots (URL<\/a>)<\/h5>\n
\u25c6\u00a0Introduction to Probability and Statistics Using R (URL<\/a>)<\/h5>\n
\u25c6\u00a0From Data to Vis (URL<\/a>)<\/h5>\n
\u25c6\u00a0Quick-R: Multidimensional Scaling (URL<\/a>)<\/h5>\n
\u25c6\u00a0NMDS (Non-metric MDS) Tutorial in R (URL<\/a>)<\/h5>\n
\u25c6\u00a0GapMider (URL<\/a>)<\/h5>\n
\u25c6\u00a0Cluster Analysis in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Principal Component Methods in R: Practical Guide (URL<\/a>)<\/h5>\n
\u25c6\u00a0Accelerated Introduction to Statistical Methods:
\nBootstrap Example<\/a>, Dept. Statistics, University of Wisconsin-Madison<\/h5>\n
\u25c6\u00a0Statistical Inference Week-4: Power, Bootstrapping, & Permutation Tests<\/a>, John Hopkins University<\/h5>\n
\u25c6\u00a0Choosing Statistical Test<\/a>, Inst. of Digital Research & Education, UCLA<\/h5>\n
\u25c6\u00a0\u00a0\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0 \u5165\u53e3\u7db2\u7ad9<\/a><\/h5>\n
\u25c6\u00a0\u00a0R\uff1a\u8cc7\u6599\u5206\u6790\u8207\u57fa\u790e\u7d71\u8a08 \u7dda\u4e0a\u8ab2\u7a0b\u81ea\u5b78\u5730\u5716<\/a><\/h5>\n
\u25c6\u00a0 John Hopkins: R Programming \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0\u00a0John Hopkins: R Programming eBook<\/a><\/h5>\n
\u25c6\u00a0\u00a0Harvard: Data Science \u7dda\u4e0a\u8ab2\u7a0b<\/a><\/h5>\n
\u25c6\u00a0 Harvard: Data Science \u8ab2\u5802\u7b46\u8a18<\/a><\/h5>\n
\n","protected":false},"excerpt":{"rendered":"

\u55ae\u5143\u5927\u7db1\uff1a \u25c6 \u6848\u4f8b\uff1a\u9810\u9632\u6027\u91ab\u7642 Predictive Medication \u25a1 \u6574\u7406\u8cc7\u6599\u3001\u5efa\u7acb\u6a21\u578b \u25a1 \u6a21\u578b\u3001\u4fc2\u6578\u8207\u6548\u679c \u25c6 \u6a5f\u7387\u6a21\u578b\u7684\u6e96\u78ba\u6027 \u25a1 \u50b3\u7d71\u6e96\u78ba\u6027\u6307\u6a19 \u25a1 \u9810\u6e2c\u6a5f\u7387\u5206\u4f48\u3001\u81e8\u754c\u6a5f\u7387\u3001\u6df7\u6dc6\u77e9\u9663 \u25a1 \u4f5c\u696d\u66f2\u7dda(ROC)\u8207\u8fa8\u8b58\u7387(AUC) \u25c6 \u9810\u6e2c\u8207\u6c7a\u7b56 \u25a1 \u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56 \u25a1 \u8a66\u7b97\u671f\u671b\u5831\u916c \u25a1 \u7b56\u7565\u6a21\u64ec \u8ab2\u5802\u7b46\u8a18\uff1a \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11A \u985e\u5225\u6a21\u578b\u7684\u6e96\u78ba\u6027 Accuracy of Classifiers ( unit11A.html ) \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11A \u985e\u5225\u6a21\u578b\u7684\u6e96\u78ba\u6027 Accuracy of Classifiers 2 ( unit11A2.html ) \u25c6 \u8ab2\u5802\u7b46\u8a18\uff1aUNIT11B \u9810\u6e2c\u8207\u6c7a\u7b56 Prediction & Decision ( unit11B2.html ) \u6a21\u64ec\u7a0b\u5f0f\uff1a \u25c6 DPPSIM.R: DPP, ROC, AUC Simulation (ShinyApp) \u25c6 Sim11B.R: From Prediction to Decision (manipulate) \u7b2c\u5341\u4e00\u55ae\u5143 \u6559\u6750\u4e0b\u8f09\uff1a \u25c6 \u6559\u6750\u8cc7\u6599\u593e ( ~\/cm512\/ ) \u25c6 Unit11\u55ae\u5143\u8cc7\u6599\u593e ( ~\/cm512\/11\u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56\/ ) \u25c7 11\u5f9e\u9810\u6e2c\u5230\u6c7a\u7b56.pptx \u25c7 unit11_Decision.zip \u7b2c\u5341\u4e00\u5468\u4f5c\u696d\uff1aDue Date\uff1a05\/12 (\u65e5) 23:59 \u25c6 \u500b\u4eba\u4f5c\u696d\uff1a \u25a1 \u5b8c\u6210 unit11A2 \u548c unit11B2 \u88e1\u9762\u7684\u4f5c\u696d\uff0c\u5c07\u5b83\u5011Knit\u6210\u7db2\u9801(.html) \u25a1 \u4ee5\u6a94\u540d\uff1a\u5b78\u865f_unit11A2.html \u3001\u5b78\u865f_unit11B2.html \u25a1 \u4e0a\u50b3\u5230\u3010 ~\/\u500b\u4eba\u4f5c\u696d\/11_decision\/ \u3011 \u5f71\u7247\u9023\u7d50\uff1a \u25c6 \u7b2c\u5341\u4e00\u55ae\u5143 \u4e0a\u8ab2\u9304\u5f71 \u53c3\u8003\u9023\u7d50\uff1a \u25c6\u00a0ggpubr: Publication Ready Plots (URL) \u25c6\u00a0Introduction to Probability and Statistics Using R (URL) \u25c6\u00a0From Data to Vis (URL) \u25c6\u00a0Quick-R: Multidimensional Scaling (URL) \u25c6\u00a0NMDS (Non-metric MDS) Tutorial in R (URL) \u25c6\u00a0GapMider (URL) \u25c6\u00a0Cluster Analysis in R: Practical Guide (URL) \u25c6\u00a0Principal Component Methods in R: Practical Guide (URL) \u25c6\u00a0Accelerated Introduction to Statistical Methods: Bootstrap Example, Dept. Statistics, University of Wisconsin-Madison \u25c6\u00a0Statistical Inference Week-4: Power, Bootstrapping, & Permutation Tests, John Hopkins University \u25c6\u00a0Choosing Statistical Test, Inst. of Digital Research & Education, UCLA \u25c6\u00a0\u00a0\u4e2d\u5c71\u7ba1\u9662\u5927\u6578\u64da\u5e73\u53f0 \u5165\u53e3\u7db2\u7ad9 \u25c6\u00a0\u00a0R\uff1a\u8cc7\u6599\u5206\u6790\u8207\u57fa\u790e\u7d71\u8a08 \u7dda\u4e0a\u8ab2\u7a0b\u81ea\u5b78\u5730\u5716 \u25c6\u00a0 John Hopkins: R Programming \u7dda\u4e0a\u8ab2\u7a0b \u25c6\u00a0\u00a0John Hopkins: R Programming eBook \u25c6\u00a0\u00a0Harvard: Data Science \u7dda\u4e0a\u8ab2\u7a0b \u25c6\u00a0 Harvard: Data Science \u8ab2\u5802\u7b46\u8a18<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"class_list":["post-5858","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5858","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5858"}],"version-history":[{"count":4,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5858\/revisions"}],"predecessor-version":[{"id":5863,"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=\/wp\/v2\/pages\/5858\/revisions\/5863"}],"wp:attachment":[{"href":"https:\/\/bap2.cm.nsysu.edu.tw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}