{"id":4478,"date":"2024-08-28T18:54:17","date_gmt":"2024-08-28T10:54:17","guid":{"rendered":"https:\/\/nullthought.net\/?p=4478"},"modified":"2024-08-28T18:54:19","modified_gmt":"2024-08-28T10:54:19","slug":"%e4%bd%bf%e7%94%a8%e5%85%89%e7%94%b5%e5%ae%b9%e7%a7%af%e8%84%89%e6%90%8f%e6%b3%a2%ef%bc%88ppg%ef%bc%89%e5%92%8c%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e6%8a%80%e6%9c%af%e9%a2%84%e6%b5%8b%e5%bf%83","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=4478","title":{"rendered":"\u4f7f\u7528\u5149\u7535\u5bb9\u79ef\u8109\u640f\u6ce2\uff08PPG\uff09\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u9884\u6d4b\u5fc3\u8840\u7ba1\u75be\u75c5\uff08CVD\uff09\u98ce\u9669"},"content":{"rendered":"\n

\u8bba\u6587Predicting cardiovascular disease risk using photoplethysmography and deep learning<\/a><\/strong>\u4e3b\u8981\u63a2\u8ba8\u4e86\u4f7f\u7528\u5149\u7535\u5bb9\u79ef\u8109\u640f\u6ce2\uff08PPG\uff09\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u9884\u6d4b\u5fc3\u8840\u7ba1\u75be\u75c5\uff08CVD\uff09\u98ce\u9669\u7684\u53ef\u884c\u6027\u3002\u7814\u7a76\u80cc\u666f\u662f\u5fc3\u8840\u7ba1\u75be\u75c5\u662f\u5168\u7403\u65e9\u901d\u7684\u4e3b\u8981\u539f\u56e0\u4e4b\u4e00\uff0c\u5c24\u5176\u5728\u8d44\u6e90\u6709\u9650\u7684\u4f4e\u6536\u5165\u548c\u4e2d\u7b49\u6536\u5165\u56fd\u5bb6\uff08LMICs\uff09\u4e2d\uff0c\u65e9\u671f\u68c0\u6d4b\u548c\u5e72\u9884\u81f3\u5173\u91cd\u8981\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684CVD\u98ce\u9669\u8bc4\u4f30\u901a\u5e38\u9700\u8981\u4f53\u68c0\u6216\u5b9e\u9a8c\u5ba4\u68c0\u6d4b\uff0c\u8fd9\u5728\u8d44\u6e90\u6709\u9650\u7684\u5730\u533a\u53ef\u80fd\u96be\u4ee5\u5b9e\u73b0\u3002\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8ePPG\u7684\u6df1\u5ea6\u5b66\u4e60\u8bc4\u5206\u7cfb\u7edf\uff08DLS\uff09\uff0c\u901a\u8fc7\u4ec5\u4f7f\u7528\u5e74\u9f84\u3001\u6027\u522b\u3001\u5438\u70df\u72b6\u51b5\u548cPPG\u6570\u636e\u6765\u9884\u6d4b\u672a\u6765\u5341\u5e74\u5185\u53d1\u751f\u4e3b\u8981\u4e0d\u826f\u5fc3\u8840\u7ba1\u4e8b\u4ef6\uff08MACE\uff09\u7684\u98ce\u9669\u3002<\/p>\n\n\n\n

\u8bba\u6587\u4f5c\u8005\u4e3aWei-Hung Weng ,Sebastien Baur ,Mayank Daswani ,Christina Chen,Lauren Harrell,Sujay Kakarmath,Mariam Jabara,Babak Behsaz,Cory Y. McLean,Yossi Matias,Greg S. Corrado,Shravya Shetty,Shruthi Prabhakara ,Yun Liu,Goodarz Danaei,Diego Ardila\uff0c\u6765\u81eaGoogle\u548cHarvard School of Public Health\u3002<\/p>\n\n\n\n

\u8bba\u6587\u5185\u5bb9\u6982\u8981\u5982\u4e0b\uff1a<\/p>\n\n\n\n

\u4e00\u3001\u7814\u7a76\u80cc\u666f<\/h4>\n\n\n\n

\u5fc3\u8840\u7ba1\u75be\u75c5\uff08CVD\uff09\u662f\u5168\u7403\u8303\u56f4\u5185\u7684\u4e3b\u8981\u5065\u5eb7\u95ee\u9898\uff0c\u5c24\u5176\u5728\u4f4e\u6536\u5165\u548c\u4e2d\u7b49\u6536\u5165\u56fd\u5bb6\uff08LMICs\uff09\uff0c\u7531\u4e8e\u533b\u7597\u8d44\u6e90\u6709\u9650\uff0c\u65e9\u671f\u68c0\u6d4b\u548c\u5e72\u9884\u63aa\u65bd\u5e38\u5e38\u96be\u4ee5\u6709\u6548\u5b9e\u65bd\u3002\u4f20\u7edf\u7684\u5fc3\u8840\u7ba1\u98ce\u9669\u8bc4\u5206\u4f9d\u8d56\u4e8e\u8840\u538b\u3001\u80c6\u56fa\u9187\u7b49\u5b9e\u9a8c\u5ba4\u6d4b\u91cf\u6570\u636e\u4ee5\u53ca\u4f53\u68c0\u4fe1\u606f\uff0c\u8fd9\u4e9b\u5728\u8d44\u6e90\u6709\u9650\u7684\u73af\u5883\u4e2d\u96be\u4ee5\u666e\u53ca\u3002\u4e3a\u89e3\u51b3\u8fd9\u4e00\u95ee\u9898\uff0c\u7814\u7a76\u8005\u63a2\u7d22\u4e86\u5229\u7528\u5149\u7535\u5bb9\u79ef\u8109\u640f\u6ce2\uff08PPG\uff09\u548c\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u8fdb\u884c\u5fc3\u8840\u7ba1\u98ce\u9669\u9884\u6d4b\u7684\u53ef\u80fd\u6027\u3002PPG\u662f\u4e00\u79cd\u7b80\u5355\u3001\u4f4e\u6210\u672c\u4e14\u6613\u4e8e\u901a\u8fc7\u667a\u80fd\u624b\u673a\u83b7\u53d6\u7684\u6280\u672f\uff0c\u5e7f\u6cdb\u7528\u4e8e\u5fc3\u7387\u76d1\u6d4b\u3002\u8be5\u7814\u7a76\u65e8\u5728\u5f00\u53d1\u4e00\u79cd\u57fa\u4e8ePPG\u4fe1\u53f7\u7684\u6df1\u5ea6\u5b66\u4e60\u8bc4\u5206\u7cfb\u7edf\uff08DLS\uff09\uff0c\u4ee5\u66f4\u4fbf\u6377\u7684\u65b9\u5f0f\u9884\u6d4b\u672a\u6765\u5341\u5e74\u5185\u53d1\u751f\u4e3b\u8981\u4e0d\u826f\u5fc3\u8840\u7ba1\u4e8b\u4ef6\uff08MACE\uff09\u7684\u98ce\u9669\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u65b9\u6cd5\u8bba\u4e0e\u5b9e\u9a8c\u8bbe\u8ba1<\/h4>\n\n\n\n

1. \u6570\u636e\u6765\u6e90\u4e0e\u5904\u7406<\/h5>\n\n\n\n

\u8be5\u7814\u7a76\u7684\u6570\u636e\u6765\u6e90\u4e8eUK Biobank\uff0c\u5176\u4e2d\u5305\u542b141,509\u540d\u53c2\u4e0e\u8005\u7684\u5f00\u53d1\u6570\u636e\u96c6\u548c54,856\u540d\u53c2\u4e0e\u8005\u7684\u6d4b\u8bd5\u6570\u636e\u96c6\u3002\u7814\u7a76\u8005\u901a\u8fc7\u5730\u7406\u4f4d\u7f6e\u5bf9\u6570\u636e\u96c6\u8fdb\u884c\u4e86\u5206\u5c42\uff0c\u786e\u4fdd\u4e86\u6a21\u578b\u7684\u5916\u90e8\u6709\u6548\u6027\u3002PPG\u6570\u636e\u901a\u8fc7\u4e00\u6b3e\u540d\u4e3aPulseTrace PCA2\u7684\u8109\u640f\u6ce2\u8bbe\u5907\u91c7\u96c6\uff0c\u8be5\u8bbe\u5907\u80fd\u8f93\u51fa\u6807\u51c6\u5316\u7684100\u65f6\u95f4\u5355\u4f4d\u7684PPG\u6ce2\u5f62\u4fe1\u53f7\u3002\u4e3a\u4e86\u5904\u7406\u8fd9\u4e9b\u6570\u636e\uff0c\u7814\u7a76\u8005\u5e94\u7528\u4e86\u4e00\u7ef4ResNet18\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\uff0c\u63d0\u53d6PPG\u7279\u5f81\u5e76\u901a\u8fc7\u4e3b\u6210\u5206\u5206\u6790\uff08PCA\uff09\u5c06\u5176\u7b80\u5316\u4e3a\u4e94\u4e2a\u4e3b\u8981\u7279\u5f81\u3002\u8fd9\u4e9b\u7279\u5f81\u968f\u540e\u4e0e\u5e74\u9f84\u3001\u6027\u522b\u3001\u5438\u70df\u72b6\u6001\u7b49\u4eba\u53e3\u7edf\u8ba1\u5b66\u4fe1\u606f\u4e00\u540c\u8f93\u5165Cox\u6bd4\u4f8b\u98ce\u9669\u6a21\u578b\uff0c\u7528\u4e8e\u9884\u6d4b\u672a\u6765\u5341\u5e74\u5185\u7684MACE\u98ce\u9669\u3002<\/p>\n\n\n\n

2. \u6a21\u578b\u5f00\u53d1\u4e0e\u9a8c\u8bc1<\/h5>\n\n\n\n

\u6a21\u578b\u5206\u4e3a\u4e24\u4e2a\u4e3b\u8981\u90e8\u5206\uff1aPPG\u7279\u5f81\u63d0\u53d6\u5668\u548cCox\u6bd4\u4f8b\u98ce\u9669\u6a21\u578b\u3002\u5728\u7279\u5f81\u63d0\u53d6\u9636\u6bb5\uff0cResNet18\u6a21\u578b\u88ab\u7528\u6765\u5b66\u4e60PPG\u6ce2\u5f62\u7684\u4f4e\u7ef4\u5d4c\u5165\u8868\u793a\u3002\u968f\u540e\uff0c\u7814\u7a76\u8005\u4f7f\u7528\u8fd9\u4e9b\u5d4c\u5165\u8868\u793a\u548c\u4eba\u53e3\u7edf\u8ba1\u5b66\u4fe1\u606f\u5f00\u53d1\u4e86Cox\u6a21\u578b\u3002\u6a21\u578b\u7684\u8bad\u7ec3\u3001\u9a8c\u8bc1\u548c\u6d4b\u8bd5\u5747\u5728\u4e0d\u540c\u7684\u5730\u7406\u533a\u57df\u4e0a\u8fdb\u884c\uff0c\u4ee5\u9a8c\u8bc1\u5176\u5728\u4e0d\u540c\u73af\u5883\u4e0b\u7684\u7a33\u5065\u6027\u3002\u6b64\u5916\uff0c\u7814\u7a76\u8005\u8fd8\u5c06DLS\u6a21\u578b\u7684\u8868\u73b0\u4e0e\u91cd\u65b0\u62df\u5408\u7684WHO\u8bc4\u5206\u7cfb\u7edf\u8fdb\u884c\u4e86\u6bd4\u8f83\uff0c\u540e\u8005\u57fa\u4e8e\u4f20\u7edf\u7684\u4f53\u68c0\u6570\u636e\uff08\u5982BMI\u3001\u8840\u538b\u7b49\uff09\u8fdb\u884cCVD\u98ce\u9669\u9884\u6d4b\u3002<\/p>\n\n\n\n

\u4e09\u3001\u7ed3\u679c\u5206\u6790<\/h4>\n\n\n\n

1. \u6a21\u578b\u6027\u80fd<\/h5>\n\n\n\n

DLS\u6a21\u578b\u5728\u6d4b\u8bd5\u6570\u636e\u96c6\u4e0a\u7684C\u7edf\u8ba1\u91cf\u4e3a71.1%\uff0c\u663e\u793a\u51fa\u4e0e\u4f20\u7edf\u7684WHO\u8bc4\u5206\u7cfb\u7edf\uff0870.9%\uff09\u76f8\u5f53\u7684\u6027\u80fd\u3002\u66f4\u4e3a\u91cd\u8981\u7684\u662f\uff0cDLS\u6a21\u578b\u7684\u6821\u51c6\u6027\u80fd\u826f\u597d\uff0c\u5e73\u5747\u7edd\u5bf9\u6821\u51c6\u8bef\u5dee\u4e3a1.8%\uff0c\u8fd9\u8868\u660e\u6a21\u578b\u5728\u4e0d\u540c\u7684\u98ce\u9669\u533a\u95f4\u4e0a\u9884\u6d4b\u7684\u51c6\u786e\u6027\u8f83\u9ad8\u3002\u6b64\u5916\uff0c\u5c06DLS\u6a21\u578b\u7684\u7279\u5f81\u4e0e\u4f20\u7edf\u7684WHO\u8bc4\u5206\u7cfb\u7edf\u76f8\u7ed3\u5408\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u63d0\u5347C\u7edf\u8ba1\u91cf\uff0c\u589e\u52a01.0%\u3002<\/p>\n\n\n\n

2. \u89e3\u91ca\u6027\u5206\u6790<\/h5>\n\n\n\n

\u7814\u7a76\u8005\u8fd8\u5bf9DLS\u6a21\u578b\u63d0\u53d6\u7684PPG\u7279\u5f81\u8fdb\u884c\u4e86\u6df1\u5165\u5206\u6790\uff0c\u53d1\u73b0\u8fd9\u4e9b\u7279\u5f81\u4e0ePPG\u6ce2\u5f62\u7684\u5f62\u6001\u5b66\u53d8\u5316\u5bc6\u5207\u76f8\u5173\uff0c\u5c24\u5176\u662f\u4e0e\u6ce2\u5f62\u4e2d\u7684\u5cf0\u503c\u4f4d\u7f6e\u548c\u53cd\u5c04\u6307\u6570\u76f8\u5173\u8054\u3002\u901a\u8fc7\u5bf9\u8fd9\u4e9b\u7279\u5f81\u7684\u5371\u5bb3\u6bd4\uff08HR\uff09\u548cSpearman\u76f8\u5173\u7cfb\u6570\u7684\u5206\u6790\uff0c\u7814\u7a76\u8005\u786e\u8ba4\u4e86\u90e8\u5206PPG\u7279\u5f81\u4e0eMACE\u98ce\u9669\u4e4b\u95f4\u7684\u663e\u8457\u76f8\u5173\u6027\uff0c\u8fd9\u4e3a\u7406\u89e3PPG\u6ce2\u5f62\u5728\u5fc3\u8840\u7ba1\u75be\u75c5\u9884\u6d4b\u4e2d\u7684\u4f5c\u7528\u63d0\u4f9b\u4e86\u91cd\u8981\u7ebf\u7d22\u3002<\/p>\n\n\n\n

\u56db\u3001\u8ba8\u8bba\u4e0e\u6f5c\u5728\u5f71\u54cd<\/h4>\n\n\n\n

1. \u7814\u7a76\u8d21\u732e<\/h5>\n\n\n\n

\u8be5\u7814\u7a76\u7684\u4e00\u4e2a\u91cd\u8981\u8d21\u732e\u5728\u4e8e\u5c55\u793a\u4e86PPG\u4fe1\u53f7\u4e0e\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\u76f8\u7ed3\u5408\u7684\u6f5c\u529b\uff0c\u4e3a\u5728\u8d44\u6e90\u6709\u9650\u7684\u73af\u5883\u4e2d\u8fdb\u884c\u5927\u89c4\u6a21CVD\u7b5b\u67e5\u63d0\u4f9b\u4e86\u4e00\u79cd\u521b\u65b0\u7684\u89e3\u51b3\u65b9\u6848\u3002\u901a\u8fc7\u4e0d\u4f9d\u8d56\u5b9e\u9a8c\u5ba4\u6570\u636e\u6216\u590d\u6742\u7684\u4f53\u68c0\u4fe1\u606f\uff0cDLS\u6a21\u578b\u53ef\u4ee5\u4f5c\u4e3a\u4e00\u79cd\u4f4e\u6210\u672c\u3001\u6613\u83b7\u53d6\u7684\u98ce\u9669\u8bc4\u4f30\u5de5\u5177\uff0c\u5e2e\u52a9\u65e9\u671f\u8bc6\u522b\u9ad8\u98ce\u9669\u4e2a\u4f53\uff0c\u4ece\u800c\u4f18\u5316\u533b\u7597\u8d44\u6e90\u914d\u7f6e\u3002<\/p>\n\n\n\n

2. \u4e34\u5e8a\u5e94\u7528\u6f5c\u529b<\/h5>\n\n\n\n

\u7814\u7a76\u8868\u660e\uff0cDLS\u6a21\u578b\u4e0d\u4ec5\u5728\u6027\u80fd\u4e0a\u4e0e\u4f20\u7edf\u65b9\u6cd5\u76f8\u5f53\uff0c\u800c\u4e14\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u80fd\u66f4\u52a0\u7075\u6d3b\uff0c\u7279\u522b\u662f\u5728\u6ca1\u6709\u4e13\u4e1a\u533b\u7597\u8bbe\u5907\u7684\u60c5\u51b5\u4e0b\u3002\u968f\u7740\u667a\u80fd\u624b\u673a\u7684\u666e\u53ca\uff0c\u672a\u6765\u53ef\u4ee5\u8fdb\u4e00\u6b65\u5f00\u53d1\u57fa\u4e8e\u667a\u80fd\u624b\u673a\u7684PPG\u6570\u636e\u91c7\u96c6\u548c\u98ce\u9669\u9884\u6d4b\u5de5\u5177\uff0c\u8fd9\u5c06\u663e\u8457\u964d\u4f4eCVD\u7b5b\u67e5\u7684\u95e8\u69db\uff0c\u7279\u522b\u662f\u5728LMICs\u3002<\/p>\n\n\n\n

\u4e94\u3001\u5c40\u9650\u6027\u4e0e\u672a\u6765\u7814\u7a76\u65b9\u5411<\/h4>\n\n\n\n

1. \u6570\u636e\u5c40\u9650\u6027<\/h5>\n\n\n\n

\u867d\u7136\u8be5\u7814\u7a76\u5c55\u793a\u4e86DLS\u6a21\u578b\u7684\u53ef\u884c\u6027\uff0c\u4f46\u5176\u4ec5\u5728UK Biobank\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u4e86\u9a8c\u8bc1\uff0c\u8fd9\u53ef\u80fd\u9650\u5236\u4e86\u5176\u5728\u5176\u4ed6\u4eba\u7fa4\u4e2d\u7684\u6cdb\u5316\u80fd\u529b\u3002\u5c24\u5176\u662fUK Biobank\u6570\u636e\u4e3b\u8981\u6765\u81ea\u9ad8\u6536\u5165\u56fd\u5bb6\uff0c\u5c1a\u9700\u5728\u66f4\u5177\u4ee3\u8868\u6027\u7684\u4f4e\u6536\u5165\u548c\u4e2d\u7b49\u6536\u5165\u56fd\u5bb6\u4eba\u7fa4\u4e2d\u8fdb\u884c\u9a8c\u8bc1\u3002\u6b64\u5916\uff0c\u7814\u7a76\u6240\u7528\u7684PPG\u6570\u636e\u6765\u81ea\u5355\u4e00\u8bbe\u5907\u548c\u4e25\u683c\u63a7\u5236\u7684\u5b9e\u9a8c\u6761\u4ef6\uff0c\u800c\u5b9e\u9645\u5e94\u7528\u4e2d\u53ef\u80fd\u5b58\u5728\u66f4\u591a\u7684\u566a\u58f0\u548c\u53d8\u5f02\u3002<\/p>\n\n\n\n

2. \u672a\u6765\u7814\u7a76\u65b9\u5411<\/h5>\n\n\n\n

\u672a\u6765\u7684\u7814\u7a76\u5e94\u7740\u91cd\u4e8e\u5728\u66f4\u591a\u6837\u5316\u7684\u4eba\u7fa4\u4e2d\u9a8c\u8bc1DLS\u6a21\u578b\u7684\u6709\u6548\u6027\uff0c\u5c24\u5176\u662f\u5728\u8d44\u6e90\u6709\u9650\u7684\u73af\u5883\u4e2d\u3002\u8fdb\u4e00\u6b65\u7684\u5de5\u4f5c\u8fd8\u5e94\u63a2\u7d22\u5982\u4f55\u5c06\u6a21\u578b\u5e94\u7528\u4e8e\u4e0d\u540c\u7684PPG\u91c7\u96c6\u8bbe\u5907\u4e0a\uff0c\u5305\u62ec\u667a\u80fd\u624b\u673a\uff0c\u4ee5\u8bc4\u4f30\u5176\u5728\u5b9e\u9645\u73af\u5883\u4e2d\u7684\u6027\u80fd\u3002\u6b64\u5916\uff0c\u7814\u7a76\u8005\u8fd8\u53ef\u4ee5\u8003\u8651\u5f15\u5165\u66f4\u591a\u7684\u5065\u5eb7\u6307\u6807\u6216\u57fa\u56e0\u6570\u636e\uff0c\u4ee5\u8fdb\u4e00\u6b65\u63d0\u9ad8\u6a21\u578b\u7684\u9884\u6d4b\u80fd\u529b\u548c\u9002\u7528\u6027\u3002<\/p>\n\n\n\n

\u516d\u3001\u7ed3\u8bba<\/h4>\n\n\n\n

\u8bba\u6587\u901a\u8fc7\u5f15\u5165\u6df1\u5ea6\u5b66\u4e60\u6280\u672f\uff0c\u5c55\u793a\u4e86\u57fa\u4e8ePPG\u4fe1\u53f7\u7684\u5fc3\u8840\u7ba1\u75be\u75c5\u98ce\u9669\u9884\u6d4b\u7684\u53ef\u884c\u6027\u3002\u7814\u7a76\u7ed3\u679c\u8868\u660e\uff0cDLS\u6a21\u578b\u5728\u4e0d\u4f9d\u8d56\u4f20\u7edf\u4f53\u68c0\u6570\u636e\u7684\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u6709\u6548\u9884\u6d4b\u672a\u6765\u5341\u5e74\u5185\u7684MACE\u98ce\u9669\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u8d44\u6e90\u6709\u9650\u7684\u73af\u5883\u3002\u5c3d\u7ba1\u5f53\u524d\u7684\u7814\u7a76\u4ecd\u5b58\u5728\u4e00\u4e9b\u5c40\u9650\u6027\uff0c\u4f46\u5176\u4e3a\u672a\u6765\u7684\u4e34\u5e8a\u5e94\u7528\u63d0\u4f9b\u4e86\u91cd\u8981\u7684\u53c2\u8003\u4f9d\u636e\uff0c\u5e76\u53ef\u80fd\u5728\u5168\u7403\u8303\u56f4\u5185\u63a8\u52a8\u66f4\u5e7f\u6cdb\u7684CVD\u7b5b\u67e5\u548c\u9884\u9632\u7b56\u7565\u7684\u5b9e\u65bd\u3002<\/p>\n\n\n\n

\n\n\n\n

Smartphone PPG software library on GitHub: https:\/\/github.com\/google-research\/CVD-paper-mobile-camera-example<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u8bba\u6587Predicting cardiovascular disease risk using photople […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[8,36],"tags":[39,45],"class_list":["post-4478","post","type-post","status-publish","format-standard","hentry","category-tech","category-36","tag-ai","tag-medicine"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"NullThought","author_link":"https:\/\/nullthought.net\/?author=1"},"rttpg_comment":0,"rttpg_category":"Tech<\/a> \u79d1\u5b66<\/a>","rttpg_excerpt":"\u8bba\u6587Predicting cardiovascular disease risk using photople…","_links":{"self":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4478","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=4478"}],"version-history":[{"count":1,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4478\/revisions"}],"predecessor-version":[{"id":4479,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/4478\/revisions\/4479"}],"wp:attachment":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4478"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4478"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4478"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}