Published on in Vol 25 (2023)
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/44965, first published
.
![Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm](https://asset.jmir.pub/assets/2233169776795348bb5e466edd1465d9.png 480w,https://asset.jmir.pub/assets/2233169776795348bb5e466edd1465d9.png 960w,https://asset.jmir.pub/assets/2233169776795348bb5e466edd1465d9.png 1920w,https://asset.jmir.pub/assets/2233169776795348bb5e466edd1465d9.png 2500w)
Journals
- Huang A, Huang S. Exploring Depression and Nutritional Covariates Amongst US Adults using Shapely Additive Explanations. Health Science Reports 2023;6(10) View
Books/Policy Documents
- Thakur N, Cho H, Cheng H, Lee H. HCI International 2023 – Late Breaking Papers. View