2026-10-13T09:08:10Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33957193 2026-09-21T17:41:03Z category_21 category_272 category_734 category_106 portal_5 item_type_3 month_year_09_2026

<p>Eligibility criteria for this review, which were based on the PCC (Population, Concept, and Context) framework for scoping reviews, as recommended by the Joanna Briggs Institute for Scoping reviews [28].</p> Kalee Jack (25084741) Julie Tian (19469783) Viktoriia Kurkova (25084744) Setayesh Modanloo (16682175) Liz Dennett (8546175) Jasmine Noble (25084747) Andrew Greenshaw (6197054) Jake Hayward (2618986) Biotechnology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Science Policy support vector machines monte carlo ). model accuracy ranged identify standard metrics heart rate variability advanced optimization techniques actual workplace setting remote health monitoring mental health monitoring 46 %) surveys studies monitored stress studies monitored report surveys 62 %) 54 %) 31 %) wide variety wearable sensors use larger thirteen studies scoping review random forest quality datasets prevalent concern potential solution physical activity office environment markov chain march 2024 map evidence future work enriched training enable cross artificial intelligence 77 %). 62 %). 54 %). 38 %). 31 %), <p>Eligibility criteria for this review, which were based on the PCC (Population, Concept, and Context) framework for scoping reviews, as recommended by the Joanna Briggs Institute for Scoping reviews [<a href="/article/info:doi/10.1371/journal.pdig.0001743#pdig.0001743.ref028" target="_blank">28</a>].</p> 2026-09-21T17:40:57Z Dataset Dataset 10.1371/journal.pdig.0001743.t001 https://figshare.com/articles/dataset/_p_Eligibility_criteria_for_this_review_which_were_based_on_the_PCC_Population_Concept_and_Context_framework_for_scoping_reviews_as_recommended_by_the_Joanna_Briggs_Institute_for_Scoping_reviews_28_p_/33957193 CC BY 4.0