{"id":99405,"date":"2019-12-06T17:43:04","date_gmt":"2019-12-07T01:43:04","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2019\/12\/simple-machine-learning-scorecard-for-seizures-is-saving-lives"},"modified":"2019-12-06T17:43:04","modified_gmt":"2019-12-07T01:43:04","slug":"simple-machine-learning-scorecard-for-seizures-is-saving-lives","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2019\/12\/simple-machine-learning-scorecard-for-seizures-is-saving-lives","title":{"rendered":"Simple machine learning scorecard for seizures is saving lives"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/simple-machine-learning-scorecard-for-seizures-is-saving-lives.jpg\"><\/a><\/p>\n<p>Computer scientists from Duke University and Harvard University have joined with physicians from Massachusetts General Hospital and the University of Wisconsin to develop a machine learning model that can predict which patients are most at risk of having destructive seizures after suffering a stroke or other brain injury.<\/p>\n<p>A point system they\u2019ve developed helps determine which patients should receive expensive continuous electroencephalography (cEEG) monitoring. Implemented nationwide, the authors say their <a href=\"https:\/\/medicalxpress.com\/tags\/model\/\" rel=\"tag\" class=\"\">model<\/a> could help hospitals monitor nearly three times as many patients, saving many lives as well as $54 million each year.<\/p>\n<p>A paper detailing the methods behind the interpretable machine learning approach appeared online June 19 in the Journal of Machine Learning Research.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computer scientists from Duke University and Harvard University have joined with physicians from Massachusetts General Hospital and the University of Wisconsin to develop a machine learning model that can predict which patients are most at risk of having destructive seizures after suffering a stroke or other brain injury. A point system they\u2019ve developed helps determine [\u2026]<\/p>\n","protected":false},"author":534,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-99405","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/99405","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/534"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=99405"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/99405\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=99405"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=99405"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=99405"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}