{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T10:16:08Z","timestamp":1654596968049},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2022,6,6]],"date-time":"2022-06-06T00:00:00Z","timestamp":1654473600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,6,6]]},"abstract":"<jats:p>Machine learning models are often trained on sociodemographic features to predict mental health outcomes. Biases in the collection of race-related data can limit the development of useful and fair models. To assess the current state of this data in mental health research, we conducted a rapid review guided by Critical Race Theory. Findings reveal limitations in the measurement and reporting of race and ethnicity, potentially leading to models that amplify health inequities.<\/jats:p>","DOI":"10.3233\/shti220281","type":"book-chapter","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:35:08Z","timestamp":1654594508000},"source":"Crossref","is-referenced-by-count":0,"title":["Race and Racialization in Mental Health Research and Implications for Developing and Evaluating Machine Learning Models: A Rapid Review"],"prefix":"10.3233","author":[{"given":"Marta M.","family":"Maslej","sequence":"first","affiliation":[{"name":"Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada"}]},{"given":"Nelson","family":"Shen","sequence":"additional","affiliation":[{"name":"Campbell Family Mental Health Research Institute, CAMH, Toronto, Canada"},{"name":"Institute for Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada"}]},{"given":"Iman","family":"Kassam","sequence":"additional","affiliation":[{"name":"Campbell Family Mental Health Research Institute, CAMH, Toronto, Canada"}]},{"given":"Terri","family":"Rodak","sequence":"additional","affiliation":[{"name":"CAMH Library, Department of Education, CAMH, Toronto, Canada"}]},{"given":"Laura","family":"Sikstrom","sequence":"additional","affiliation":[{"name":"Krembil Centre for Neuroinformatics, Centre for Addiction and Mental Health (CAMH), Toronto, Canada"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","MEDINFO 2021: One World, One Health \u2013 Global Partnership for Digital Innovation"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI220281","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T09:35:09Z","timestamp":1654594509000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI220281"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,6]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti220281","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,6]]}}}