Unimodal vs. Multimodal Prediction of Antenatal Depression from Smartphone-based Survey Data in a Longitudinal Study

Author:

Zhong Mengyu1ORCID,Van Zoest Vera2ORCID,Bilal Ayesha Mae3ORCID,Papadopoulos Fotios4ORCID,Castellano Ginevra2ORCID

Affiliation:

1. Department of Information Technology, Uppsala University, Sweden and Women’s Mental Health during the Reproductive Lifespan - WOMHER, Uppsala University, Sweden

2. Department of Information Technology, Uppsala University, Sweden

3. Department of Medical Sciences, Uppsala University, Sweden and Women's Mental Health during the Reproductive Lifespan - WOMHER, Uppsala University, Sweden

4. Department of Medical Sciences, Uppsala University, Sweden

Funder

WOMHER Centre, Uppsala University

Publisher

ACM

Reference98 articles.

1. Depression and anxiety during pregnancy: A risk factor for obstetric, fetal and neonatal outcome? A critical review of the literature

2. Explainability for artificial intelligence in healthcare: a multidisciplinary perspective

3. Gerhard Andersson Maria Burman Per Carlbring and Anna-Karin Norlander. 2018. Närmare varandra: Nio veckor till en starkare parrelation. Natur & Kultur. Gerhard Andersson Maria Burman Per Carlbring and Anna-Karin Norlander. 2018. Närmare varandra: Nio veckor till en starkare parrelation. Natur & Kultur.

4. Sam Andersson , Deepti  R Bathula , Stavros  I Iliadis , Martin Walter , and Alkistis Skalkidou . 2021. Predicting women with depressive symptoms postpartum with machine learning methods. Scientific reports 11, 1 ( 2021 ), 1–15. Sam Andersson, Deepti R Bathula, Stavros I Iliadis, Martin Walter, and Alkistis Skalkidou. 2021. Predicting women with depressive symptoms postpartum with machine learning methods. Scientific reports 11, 1 (2021), 1–15.

5. Mobile healthcare applications: system design review, critical issues and challenges

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1. Exploring User Experiences of the Mom2B mHealth Research App During the Perinatal Period: Qualitative Study;JMIR Formative Research;2024-08-08

2. Trends, Opportunities, and Challenges in Detecting Depressive Disorders Through Mobile Devices: A Review;2023 2nd International Conference on Computer System, Information Technology, and Electrical Engineering (COSITE);2023-08-02

3. A case study in designing trustworthy interactions: implications for socially assistive robotics;Frontiers in Computer Science;2023-06-28

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