As part of the ACII 2019 conference in Cambridge, U.K., we ran a workshop on \u201cMachine Learning for Affective
\nDisorders\u201d (ML4AD; http:\/\/mlformentalhealth.com\/). The well-attended workshop had an extensive program, including an opening keynote by UC Irvine assistant professor of psychological science Stephen Schueller, presentations by authors of accepted workshop papers, and invited talks by established researchers in the field (http:\/\/mlformentalhealth.com\/#speakers). Among the topics and application areas covered were: detection of depression from body movements; online suicide risk prediction on Reddit; various approaches to assist stress recognition; a study of an impulse suppression task to help detect people suffering from ADHD; and strategies for generating better \u201cwell-being features\u201d for end-to-end prediction of future well-being.
\nDiscussions at the workshop touched on many common ML challenges regarding data processing, feature extraction, and the need for interpretable systems. Most conversations, however, centered on: 1) difficulties surrounding mental health assessment, and 2) ethical issues when developing or deploying ML applications. Here, we want to share a synthesis of these conversations and current questions that were raised by researchers working in this area.<\/p>\n","protected":false},"excerpt":{"rendered":"
As part of the ACII 2019 conference in Cambridge, U.K., we ran a workshop on \u201cMachine Learning for Affective Disorders\u201d (ML4AD; http:\/\/mlformentalhealth.com\/). The well-attended workshop had an extensive program, including an opening keynote by UC Irvine assistant professor of psychological science Stephen Schueller, presentations by authors of accepted workshop papers, and invited talks by established […]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"ACM Interactions Magazine","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"","msr_page_range_end":"","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2020-2-1","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13554],"msr-publication-type":[193720],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-646182","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-human-computer-interaction","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2020-2-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"ACM Interactions Magazine","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/dl.acm.org\/doi\/abs\/10.1145\/3381342","label_id":"243109","label":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"user_nicename","value":"Anja Thieme","user_id":35948,"rest_url":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Anja Thieme"},{"type":"user_nicename","value":"Danielle Belgrave","user_id":37302,"rest_url":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/wp-json\/microsoft-research\/v1\/researchers?person=Danielle Belgrave"},{"type":"text","value":"Akane Sano","user_id":0,"rest_url":false},{"type":"text","value":"Gavin Doherty","user_id":0,"rest_url":false}],"msr_impact_theme":[],"msr_research_lab":[199561],"msr_event":[],"msr_group":[371909,646851],"msr_project":[609993],"publication":[],"video":[],"msr-tool":[],"msr_publication_type":"booklet","related_content":{"projects":[{"ID":609993,"post_title":"Project Talia - AI for Improved Mental Health","post_name":"project-talia","post_type":"msr-project","post_date":"2019-10-02 02:30:03","post_modified":"2024-02-28 09:10:27","post_status":"publish","permalink":"https:\/\/newed.any0.dpdns.org\/en-us\/research\/project\/project-talia\/","post_excerpt":"In this project, we are partnering with SilverCloud Health, the leading digital therapeutics platform for mental and behavioral health. 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