{"id":12501,"date":"2022-03-02T07:35:44","date_gmt":"2022-03-02T12:35:44","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=12501"},"modified":"2022-03-02T08:02:29","modified_gmt":"2022-03-02T13:02:29","slug":"the-pentagon-is-working-on-an-algorithm-to-detect-covid-early","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-pentagon-is-working-on-an-algorithm-to-detect-covid-early\/12501\/","title":{"rendered":"The Pentagon is Working on an Algorithm to Detect Covid Early"},"content":{"rendered":"Originally published in Politico, Feb 23, 2022. Preliminary results from an experiment using fitness trackers show promise. What if a fitness tracker could predict that the wearer was Covid-positive hours or even days before they start noticing symptoms? To answer the question, the Pentagon has spent the past two years experimenting with \u201cpredictive bio-wearables\u201d technology \u2014 in this case, a wristwatch and a ring on the user\u2019s finger. The idea is to wear the combo daily just like a fitness tracker, and once users notice a change, they get tested for Covid-19. And after some promising early results, <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-pentagon-is-working-on-an-algorithm-to-detect-covid-early\/12501\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Politico, Feb 23, 2022. Preliminary results from an experiment using fitness trackers show promise. What if a fitness tracker could predict that the wearer was Covid-positive hours or even days before they start noticing symptoms? To answer the question, the Pentagon has spent the past two years experimenting with \u201cpredictive bio-wearables\u201d technology [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[],"class_list":["post-12501","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12501","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=12501"}],"version-history":[{"count":5,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12501\/revisions"}],"predecessor-version":[{"id":12506,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/12501\/revisions\/12506"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=12501"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=12501"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=12501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}