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Prediction of high risk can allow for early delivery of existing interventions for prevention. This ongoing study aims to use digital phenotyping data from the Mom2B smartphone application to develop models to predict women at high risk for mental and somatic complications.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods and analysis<\/jats:title>\n                    <jats:p>All Swedish-speaking women over 18 years, who are either pregnant or within 3 months postpartum are eligible to participate by downloading the Mom2B smartphone app. We aim to recruit at least 5000 participants with completed outcome measures. Throughout the pregnancy and within the first year postpartum, both active and passive data are collected via the app in an effort to establish a participant\u2019s digital phenotype. Active data collection consists of surveys related to participant background information, mental and physical health, lifestyle, and social circumstances, as well as voice recordings. Participants\u2019 general smartphone activity, geographical movement patterns, social media activity and cognitive patterns can be estimated through passive data collection from smartphone sensors and activity logs. The outcomes will be measured using surveys, such as the Edinburgh Postnatal Depression Scale, and through linkage to national registers, from where information on registered clinical diagnoses and received care, including prescribed medication, can be obtained. Advanced machine learning and deep learning techniques will be applied to these multimodal data in order to develop accurate algorithms for the prediction of perinatal depression and preterm birth. In this way, earlier intervention may be possible.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Ethics and dissemination<\/jats:title>\n                    <jats:p>Ethical approval has been obtained from the Swedish Ethical Review Authority (dnr: 2019\/01170, with amendments), and the project fully fulfils the General Data Protection Regulation (GDPR) requirements. All participants provide consent to participate and can withdraw their participation at any time. Results from this project will be disseminated in international peer-reviewed journals and presented in relevant conferences.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1136\/bmjopen-2021-059033","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T08:12:46Z","timestamp":1652775166000},"page":"e059033","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":43,"title":["Predicting perinatal health outcomes using smartphone-based digital phenotyping and machine learning in a prospective Swedish cohort (Mom2B): study protocol"],"prefix":"10.1136","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7349-8765","authenticated-orcid":false,"given":"Ayesha M","family":"Bilal","sequence":"first","affiliation":[{"name":"Department of Medical Sciences, Uppsala University, Uppsala, Sweden"},{"name":"Centre for Women's Mental Health during the Reproductive Lifespan (Womher), Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Fransson","sequence":"additional","affiliation":[{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"},{"name":"Centre for Translational Microbiome Research, Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Emma","family":"Br\u00e4nn","sequence":"additional","affiliation":[{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Allison","family":"Eriksson","sequence":"additional","affiliation":[{"name":"Centre for Women's Mental Health during the Reproductive Lifespan (Womher), Uppsala University, Uppsala, Sweden"},{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengyu","family":"Zhong","sequence":"additional","affiliation":[{"name":"Centre for Women's Mental Health during the Reproductive Lifespan (Womher), Uppsala University, Uppsala, Sweden"},{"name":"Department of Information Technology, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Karin","family":"Gid\u00e9n","sequence":"additional","affiliation":[{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ulf","family":"Elofsson","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences, Uppsala University, Uppsala, Sweden"},{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cathrine","family":"Axfors","sequence":"additional","affiliation":[{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alkistis","family":"Skalkidou","sequence":"additional","affiliation":[{"name":"Department of Women\u2019s and Children\u2019s Health, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fotios C","family":"Papadopoulos","sequence":"additional","affiliation":[{"name":"Department of Medical Sciences, Uppsala University, Uppsala, Sweden"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"239","published-online":{"date-parts":[[2022,4,27]]},"reference":[{"key":"2025121407252618000_12.4.e059033.1","unstructured":"WHO . 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