{"id":163237,"date":"2023-05-02T17:25:46","date_gmt":"2023-05-02T22:25:46","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/05\/wearable-devices-may-be-able-to-capture-well-being-through-effortless-data-collection-using-ai"},"modified":"2023-05-02T17:25:46","modified_gmt":"2023-05-02T22:25:46","slug":"wearable-devices-may-be-able-to-capture-well-being-through-effortless-data-collection-using-ai","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/05\/wearable-devices-may-be-able-to-capture-well-being-through-effortless-data-collection-using-ai","title":{"rendered":"Wearable devices may be able to capture well-being through effortless data collection using AI"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/wearable-devices-may-be-able-to-capture-well-being-through-effortless-data-collection-using-ai.jpg\"><\/a><\/p>\n<p>Applying machine learning models, a type of artificial intelligence (AI), to data collected passively from wearable devices can identify a patient\u2019s degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York.<\/p>\n<p>The findings, reported in the May 2 issue of <i>JAMIA Open<\/i>, support <a href=\"https:\/\/medicalxpress.com\/tags\/wearable+devices\/\" rel=\"tag\" class=\"\">wearable devices<\/a>, such as the Apple Watch, as a way to monitor and assess psychological states remotely without requiring the completion of mental health questionnaires.<\/p>\n<p>The paper, titled \u201cA machine learning approach to determine <a href=\"https:\/\/medicalxpress.com\/tags\/resilience\/\" rel=\"tag\" class=\"\">resilience<\/a> utilizing wearable device data: analysis of an observational cohort,\u201d points out that resilience, or an individual\u2019s ability to overcome difficulty, is an important stress mitigator, reduces morbidity, and improves chronic disease management.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Applying machine learning models, a type of artificial intelligence (AI), to data collected passively from wearable devices can identify a patient\u2019s degree of resilience and well-being, according to investigators at the Icahn School of Medicine at Mount Sinai in New York. The findings, reported in the May 2 issue of JAMIA Open, support wearable devices, [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,47,6,1977],"tags":[],"class_list":["post-163237","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-neuroscience","category-robotics-ai","category-wearables"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/163237","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\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=163237"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/163237\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=163237"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=163237"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=163237"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}