{"id":38905,"date":"2019-02-25T00:00:20","date_gmt":"2019-02-24T16:00:20","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=38905"},"modified":"2022-01-04T03:25:05","modified_gmt":"2022-01-03T19:25:05","slug":"%e4%b8%8b%e5%80%8b%e8%a2%ab%e6%b7%98%e6%b1%b0%e7%9a%84%e6%9c%83%e6%98%af%e9%86%ab%e7%94%9f%e5%97%8e%ef%bc%9f","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=38905","title":{"rendered":"\u4e0b\u500b\u88ab\u6dd8\u6c70\u7684\u6703\u662f\u91ab\u751f\u55ce\uff1f"},"content":{"rendered":"
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\"\u4e0b\u500b\u88ab\u6dd8\u6c70\u7684\u6703\u662f\u91ab\u751f\u55ce\uff1f\"<\/div>\n<\/div>\n
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\u7de8\u8b6f\uff0f\u845b\u7ad1\u5fd7<\/strong><\/p>\n

\u5927\u6578\u64da\u6642\u4ee3<\/strong><\/p>\n

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Goldhahn\u8a8d\u70ba\uff0c\u91ab\u5b78\u6578\u64da\u53ea\u6703\u8b8a\u5f97\u66f4\u591a\u6a23\u4e14\u66f4\u8907\u96dc\u3002\u9019\u4e9b\u6578\u64da\u9664\u4e86\u6709\u76ca\u65bc\u81e8\u5e8a\u7814\u7a76\uff0c\u4e5f\u53ef\u4ee5\u5e6b\u52a9\u8a13\u7df4AI\uff0c\u4f7f\u5176\u66f4\u52a0\u6e96\u78ba\u3002\u8209\u4f8b\u4f86\u8aaa\uff0cGoogle AI\u5718\u968a\u8207\u76f8\u7576\u591a\u7684\u91ab\u5e2b\u5408\u4f5c\uff0c\u958b\u767c\u51fa\u4e86\u5f9e\u773c\u5e95\u651d\u5f71\u9810\u6e2c\u5fc3\u81df\u75c5\u98a8\u96aa\u7684\u6df1\u5ea6\u5b78\u7fd2\u6a21\u578b[2]\uff0c\u5176\u9810\u6e2c\u4e4b\u7cbe\u6e96\u5ea6\u5df2\u80fd\u5728\u81e8\u5e8a\u4e0a\u5354\u52a9\u67d0\u4e9b\u75be\u75c5\u7684\u7be9\u6aa2\u3002<\/p>\n

\u91ab\u75c5\u95dc\u4fc2<\/strong><\/p>\n

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\u9664\u6b64\u4e4b\u5916\uff0c\u4eba\u985e\u7684\u5b78\u7fd2\u6a21\u5f0f\u7d93\u5e38\u53d7\u500b\u4eba\u50be\u5411\u8207\u6559\u5b78\u6a5f\u69cb\u7406\u5ff5\u7684\u5f71\u97ff\uff0c\u6240\u4ee5\u5c31\u7b97\u540c\u6a23\u8eab\u70ba\u91ab\u8005\uff0c\u5f7c\u6b64\u4e4b\u9593\u5c0d\u91ab\u5b78\u7684\u8a8d\u77e5\u9084\u662f\u5b58\u5728\u7121\u53ef\u907f\u514d\u7684\u5dee\u7570\u3002\u63db\u6210\u662fAI\uff0c\u5c31\u4e0d\u6703\u6709\u9019\u7a2e\u554f\u984c\u7522\u751f\u4e86\u3002Goldhahn\u8a8d\u70ba\uff0c\u53ea\u8981\u6a5f\u5668\u80fd\u63d0\u51fa\u7121\u504f\u898b\u7684\u6aa2\u6e2c\u8207\u7642\u7a0b\u5efa\u8b70\uff0c\u53cd\u800c\u66f4\u80fd\u8f15\u6613\u53d6\u5f97\u5c24\u5176\u65b0\u4e16\u4ee3\u4eba\u985e\u7684\u4fe1\u4efb\u3002<\/p>\n

\u8cc7\u8a0a\u7206\u70b8<\/strong><\/p>\n

\u4eba\u5011\u5e38\u5c0d\u91ab\u751f\u62b1\u6709\u4e0d\u5207\u5be6\u969b\u7684\u6975\u9ad8\u671f\u671b\uff0c\u300c\u76f8\u4fe1\u91ab\u751f\u7e3d\u80fd\u8d95\u4e0a\u6700\u5c16\u7aef\u3001\u6700\u65b0\u7684\u91ab\u5b78\u7814\u7a76\u77e5\u8b58\uff0c\u53c8\u80fd\u8207\u75c5\u4eba\u7dad\u6301\u826f\u597d\u7684\u5bc6\u5207\u95dc\u4fc2\u3002\u4f46\u4e8b\u5be6\u4e0a\uff0c\u9019\u7c21\u76f4\u662f\u5929\u65b9\u591c\u8b5a\uff0c\u56e0\u70ba\u4e00\u500b\u4eba\u8981\u9762\u5c0d\u7684\u8cc7\u8a0a\u91cf\u5be6\u5728\u904e\u65bc\u9f90\u5927\u4e86\u3002\u300d\u6b64\u6642\u81ea\u7136\u8a9e\u8a00\u8655\u7406\uff08Natural Language Processing\uff09\u5c31\u662f\u76f8\u7576\u6709\u6f5b\u529b\u7684\u5de5\u5177\u3002Goldhahn\u88dc\u5145\uff1a\u65e5\u524d\u6709\u7814\u7a76\u4f7f\u7528RNN\uff08Recursive Neural Network\uff09\u700f\u89bd\u5927\u91cf\u85e5\u7269\u76f8\u95dc\u6587\u737b\uff0c\u6574\u7406\u51fa\u4e0d\u540c\u85e5\u7269\u9593\u7684\u4ea4\u4e92\u4f5c\u7528[3]\u3002\u9019\u7a2e\u67af\u71e5\u3001\u4e4f\u5473\u3001\u8017\u6642\uff0c\u537b\u53c8\u6975\u70ba\u91cd\u8981\u7684\u6587\u737b\u6574\u7406\u5de5\u4f5c\uff0c\u53cd\u800c\u662fAI\u7684\u5f37\u9805\u6240\u5728\u3002<\/p>\n

\u8996\u75c5\u5982\u89aa<\/strong><\/p>\n

\u52a0\u62ff\u5927\u9ea5\u57fa\u723e\u5927\u5b78Vanessa Rampton\u8207\u745e\u58eb\u8607\u9ece\u4e16\u5927\u5b78\u91ab\u9662Giatgen Spinas\u5247\u5c0d\u6b64\u62b1\u6301\u4e0d\u540c\u770b\u6cd5\u3002\u4ed6\u5011\u5341\u5206\u8d0a\u540cAI\u4f5c\u70ba\u4e00\u500b\u5354\u52a9\u8a3a\u65b7\u8207\u6cbb\u7642\u7684\u300c\u5de5\u5177\u300d\uff0c\u4f46\u5426\u8a8dAI\u53ef\u4ee5\u5b8c\u5168\u53d6\u4ee3\u300c\u4eba\u985e\u300d\u626e\u6f14\u597d\u300c\u91ab\u8005\u300d\u9019\u500b\u89d2\u8272\u3002<\/p>\n

\u300c\u540c\u6a23\u8eab\u70ba\u4eba\u985e\u7684\u91ab\u751f\uff0c\u53ef\u4ee5\u7531\u60a3\u8005\u7684\u4eba\u751f\u7d93\u6b77\u8207\u793e\u6703\u89d2\u8272\u5207\u5165\uff0c\u9010\u6b65\u91d0\u6e05\u75be\u75c5\u7684\u6210\u56e0\u4e26\u5c0d\u75c7\u4e0b\u85e5\u3002\u300d\u5728\u64ec\u5b9a\u6cbb\u7642\u8a08\u756b\u6642\uff0c\u91ab\u751f\u80fd\u5c07\u75c5\u4eba\u7684\u50f9\u503c\u89c0\u8207\u6027\u683c\u50be\u5411\u7d0d\u5165\u8003\u91cf\uff0c\u5728\u75c5\u56e0\u4e0d\u660e\u6216\u75c5\u6cc1\u8907\u96dc\u7684\u60c5\u5f62\u4e0b\uff0c\u9019\u4e9b\u7121\u6cd5\u91cf\u5316\u7684\u8cc7\u8a0a\u5c24\u5176\u91cd\u8981\u3002<\/p>\n

\u5c0d\u8a31\u591a\u75c5\u60a3\u4f86\u8aaa\uff0c\u627e\u5230\u4e00\u500b\u80fd\u9ad4\u6703\u4e8b\u60c5\u7684\u56b4\u91cd\u6027\u53c8\u503c\u5f97\u76f8\u4fe1\u7684\u4eba\uff0c\u662f\u7642\u7a0b\u4e2d\u6700\u91cd\u8981\u7684\u652f\u6301\uff0c\u800c\u9019\u4e9b\u90fd\u662f\u6a5f\u5668\u8fc4\u4eca\u7121\u6cd5\u9054\u5230\u7684\u3002\u5373\u4f7f\u865f\u7a31\u80fd\u6a21\u4eff\u4eba\u985e\u60c5\u7dd2\u7684\u6a5f\u5668\u4eba\uff0c\u4e5f\u53ea\u662f\u5728\u7279\u5b9a\u60c5\u5883\u4e0b\u4f5c\u51fa\u76f8\u61c9\u7684\u56de\u61c9\uff0c\u7121\u6cd5\u6839\u64da\u4eba\u751f\u7d93\u9a57\u8207\u60a3\u8005\u7684\u72c0\u614b\u7d66\u4e88\u9069\u7576\u56de\u994b\uff0c\u66f4\u9051\u8ad6\u6539\u5584\u60a3\u8005\u7684\u751f\u6d3b\u54c1\u8cea \u3002Rampton\u548cSpinas\u5f37\u8abf\uff1a\u9019\u6b63\u662f\u4eba\u985e\u91ab\u751f\u7121\u53ef\u53d6\u4ee3\u4e4b\u8655\u3002\u7562\u7adf\uff0c\u6211\u5011\u7e3d\u4e0d\u6703\u5e0c\u671b\u6709\u4e00\u5929\u5ba3\u5e03\u81ea\u5df1\u6b7b\u4ea1\u7684\uff0c\u662f\u5c0d\u300c\u6b7b\u4ea1\u300d\u6beb\u7121\u6982\u5ff5\u7684\u51b0\u51b7\u6a5f\u5668\u5427\uff01<\/p>\n

 <\/p>\n

\u7de8\u8b6f\u4f86\u6e90<\/strong><\/p>\n

J. Goldhahn ,\u00a0V. Rampton ,\u00a0\u00a0G.A. Spinas,\u00a0\u201cCould artificial intelligence make doctors obsolete?\u201d,\u00a0BMJ,\u00a0<\/em>363:k4563, 2018.<\/p>\n

\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n

    \n
  1. R. Poplin, A.V. Varadarajan, K. Blumer, Y. Liu, M.V. McConnell, G.S. Corrado, L. Peng & D.R. Webster. \u201cPrediction of cardiovascular risk factors from retinal fundus photographs via deep learning.\u201d Nature Biomedical Engineering 2:158\u2013164, 2018.<\/li>\n
  2. S. Lim, K. Lee, J. Kang. \u201cDrug drug interaction extraction from the literature using a recursive neural network.\u201d PLoS ONE 13(1): e0190926.<\/li>\n<\/ol>\n

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