Published on in Vol 9, No 11 (2021): November
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/29768, first published
.
![A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness](https://asset.jmir.pub/assets/bc557ff6a23b18b1812e1309dafc327f.png 480w,https://asset.jmir.pub/assets/bc557ff6a23b18b1812e1309dafc327f.png 960w,https://asset.jmir.pub/assets/bc557ff6a23b18b1812e1309dafc327f.png 1920w,https://asset.jmir.pub/assets/bc557ff6a23b18b1812e1309dafc327f.png 2500w)
1 Department of Computer Science and Engineering, The Ohio State University, Columbus, OH, United States
2 Department of Biomedical Informatics, The Ohio State University, Columbus, OH, United States
3 Translational Data Analytics Institute, The Ohio State University, Columbus, OH, United States