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\u5b9f\u969b\u306e\u4f8b\u3068\u3057\u3066\u306f\u3001\u75be\u75c5\u30ea\u30b9\u30af\u3092\u4e88\u6e2c\u3059\u308b\u30e1\u30a4\u30e8\u30fc\u30af\u30ea\u30cb\u30c3\u30af\u306e\u30d8\u30eb\u30b9\u30fb\u30a4\u30f3\u30b5\u30a4\u30c8\u30fb\u30d7\u30ed\u30b0\u30e9\u30e0\u3001\u518d\u5165\u9662\u7387\u3092\u4f4e\u6e1b\u3059\u308b\u30de\u30a6\u30f3\u30c8\u30b5\u30a4\u30ca\u30a4\u30fb\u30d8\u30eb\u30b9\u30b7\u30b9\u30c6\u30e0\u306e\u518d\u5165\u9662\u4e88\u6e2c\u30e2\u30c7\u30eb\u3001\u60a3\u8005\u30c7\u30fc\u30bf\u3068\u81e8\u5e8a\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u3092\u5206\u6790\u3059\u308b\u3053\u3068\u3067\u30a8\u30d3\u30c7\u30f3\u30b9\u306b\u57fa\u3065\u304f\u6cbb\u7642\u63a8\u5968\u3092\u63d0\u4f9b\u3059\u308bIBM Watson for Oncology\u306a\u3069\u304c\u3042\u308b\u3002\u3053\u308c\u3089\u306e\u4f8b\u306f\u3001\u533b\u7642\u63d0\u4f9b\u306e\u6539\u5584\u306b\u304a\u3051\u308b\u4e88\u6e2c\u30a2\u30ca\u30ea\u30c6\u30a3\u30af\u30b9\u306e\u5b9f\u969b\u7684\u306a\u5fdc\u7528\u3068\u5f71\u97ff\u3092\u793a\u3057\u3066\u3044\u308b\u3002<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t Predictive analytics in healthcare harnesses the power of data, statistical algorithms, and machine learning techniques to identify the likelihood of future outcomes based on historical data. By analyzing various data sources, including patient records, lab results, and demographic information, healthcare organizations can make informed decisions that enhance patient care, streamline operations, and improve overall health outcomes. In this blog, we\u2019ll explore the significance of predictive analytics in healthcare, delve into its various use cases, and examine real-world examples that illustrate its impact on the industry. Table of Contents What is the current state of predictive analytics in healthcare? The current state of predictive analytics in healthcare reflects a rapidly evolving […]<\/p>","protected":false},"author":3,"featured_media":43551,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[71,4,77],"tags":[],"class_list":["post-43546","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-blog","category-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/posts\/43546","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/comments?post=43546"}],"version-history":[{"count":5,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/posts\/43546\/revisions"}],"predecessor-version":[{"id":43552,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/posts\/43546\/revisions\/43552"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/media\/43551"}],"wp:attachment":[{"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/media?parent=43546"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/categories?post=43546"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.carmatec.com\/ja\/wp-json\/wp\/v2\/tags?post=43546"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n\t\t\t\t\u76ee\u6b21\t\t\t<\/h4>\n\t\t\t\t\t\t\t
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10.\u4eca\u5f8c\u306e\u65b9\u5411\u6027<\/b><\/h4>\n
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\u533b\u7642\u306b\u304a\u3051\u308b\u4e88\u6e2c\u5206\u6790\u3068\u306f\u4f55\u304b\uff1f<\/b><\/h2>\n
\u30d8\u30eb\u30b9\u30b1\u30a2\u306b\u304a\u3051\u308b\u4e88\u6e2c\u5206\u6790\u306e\u4e3b\u306a\u69cb\u6210\u8981\u7d20<\/b><\/h2>\n
\n
\u30d8\u30eb\u30b9\u30b1\u30a2\u306b\u304a\u3051\u308b\u4e88\u6e2c\u5206\u6790\u306e\u5fdc\u7528<\/b><\/h2>\n
\n
\u533b\u7642\u306b\u304a\u3051\u308b\u4e88\u6e2c\u5206\u6790\u306e\u91cd\u8981\u6027<\/b><\/h2>\n
\n
\u30d8\u30eb\u30b9\u30b1\u30a2\u306b\u304a\u3051\u308b\u4e88\u6e2c\u5206\u6790\u306e\u4f7f\u7528\u4f8b<\/b><\/h2>\n
1.\u75c5\u6c17\u306e\u4e88\u77e5\u3068\u4e88\u9632<\/b><\/h4>\n
2.\u60a3\u8005\u306e\u518d\u5165\u9662\u4e88\u6e2c<\/b><\/h4>\n
3.\u6cbb\u7642\u306e\u6700\u9069\u5316<\/b><\/h4>\n
4.\u81e8\u5e8a\u5224\u65ad\u652f\u63f4<\/b><\/h4>\n
5.\u8cc7\u6e90\u914d\u5206\u3068\u4eba\u54e1\u914d\u7f6e<\/b><\/h4>\n
6.\u500b\u5225\u5316\u533b\u7642<\/b><\/h4>\n
7.\u4f5c\u696d\u52b9\u7387<\/b><\/h4>\n
8.\u81e8\u5e8a\u8a66\u9a13\u3068\u533b\u85ac\u54c1\u958b\u767a<\/b><\/h4>\n
\u7d50\u8ad6<\/b><\/h2>\n
\u3088\u304f\u3042\u308b\u8cea\u554f<\/b><\/h2>\n
\n
\n
\n
\n
\n