{"id":5751,"date":"2015-07-09T16:26:44","date_gmt":"2015-07-09T20:26:44","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=5751"},"modified":"2015-07-09T16:26:44","modified_gmt":"2015-07-09T20:26:44","slug":"mit-researcher-discusses-a-new-study-on-correlations-among-medical-problems","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/mit-researcher-discusses-a-new-study-on-correlations-among-medical-problems\/5751\/","title":{"rendered":"MIT researcher discusses a new study on correlations among medical problems"},"content":{"rendered":"3 Questions: Carlo Ratti on big data and health predictions What can big data tell us about the predictability of medical conditions? A new study by MIT researchers published in the journal Scientific Reports digs into this question by looking at anonymous data from over 500,000 patients. Among the findings is that our electronic medical records contain data that is up to 90 percent predictable \u2014 although this level of predictability is only attainable in theory. However, it can guide algorithmic designers and practitioners on what is possible in principle. The co-authors of the paper are Carlo Ratti, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/mit-researcher-discusses-a-new-study-on-correlations-among-medical-problems\/5751\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>3 Questions: Carlo Ratti on big data and health predictions What can big data tell us about the predictability of medical conditions? A new study by MIT researchers published in the journal Scientific Reports digs into this question by looking at anonymous data from over 500,000 patients. Among the findings is that our electronic medical [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[42,103,457,456,73],"class_list":["post-5751","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-big-data","tag-data","tag-disease","tag-health","tag-healthcare"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5751","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=5751"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5751\/revisions"}],"predecessor-version":[{"id":5753,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/5751\/revisions\/5753"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=5751"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=5751"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=5751"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}