{"id":3750,"date":"2022-02-03T18:52:22","date_gmt":"2022-02-03T17:52:22","guid":{"rendered":"https:\/\/mobiliarlab.ethz.ch\/?p=3750"},"modified":"2022-02-03T18:52:24","modified_gmt":"2022-02-03T17:52:24","slug":"publication-in-jmir-aging","status":"publish","type":"post","link":"https:\/\/mobililab.ethz.ch\/?p=3750","title":{"rendered":"Publication in JMIR Aging"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">The manuscript &#8220;<a href=\"https:\/\/preprints.jmir.org\/preprint\/28333\/accepted\">Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach<\/a>&#8221; by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in JMIR Aging. The authors show that machine learning may support the prediction of working memory in healthy older adults, using linguistic measures and social context information extracted unobtrusively from their everyday conversations.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The manuscript &#8220;Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach&#8221; by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in JMIR Aging. The authors show that machine learning may support the prediction&hellip; <br \/> <a class=\"read-more\" href=\"https:\/\/mobililab.ethz.ch\/?p=3750\">Read more<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[2],"tags":[],"class_list":["post-3750","post","type-post","status-publish","format-standard","hentry","category-news"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Publication in JMIR Aging : Mobiliar Lab f\u00fcr Analytik<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mobililab.ethz.ch\/?p=3750\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Publication in JMIR Aging : Mobiliar Lab f\u00fcr Analytik\" \/>\n<meta property=\"og:description\" content=\"The manuscript &#8220;Predicting Working Memory in Healthy Older Adults Using Real-Life Language and Social Context Information: A Machine Learning Approach&#8221; by Andrea Ferrario (Mobiliar Lab for Analytics at ETH and Chair of Technology Marketing, ETH) et al., has been accepted for publication in JMIR Aging. The authors show that machine learning may support the prediction&hellip; Read more\" \/>\n<meta property=\"og:url\" content=\"https:\/\/mobililab.ethz.ch\/?p=3750\" \/>\n<meta property=\"og:site_name\" content=\"Mobiliar Lab f\u00fcr Analytik\" \/>\n<meta property=\"article:published_time\" content=\"2022-02-03T17:52:22+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2022-02-03T17:52:24+00:00\" \/>\n<meta name=\"author\" content=\"Andrea Ferrario\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Andrea Ferrario\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" 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