Mining Insights from User-Generated Content on Thrive with Me, an mHealth Platform for Men Living with HIV: Demonstration of a Novel Machine Learning-Aided Thematic Analysis

Simone J. Skeen, Scott Jones, Carolyn Cruse, AvaGrace Palazzolo, Keith J. Horvath. Mining Insights from User-Generated Content on Thrive with Me, an mHealth Platform for Men Living with HIV: Demonstration of a Novel Machine Learning-Aided Thematic Analysis. In AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020. AMIA, 2020. [doi]

@inproceedings{SkeenJCPH20,
  title = {Mining Insights from User-Generated Content on Thrive with Me, an mHealth Platform for Men Living with HIV: Demonstration of a Novel Machine Learning-Aided Thematic Analysis},
  author = {Simone J. Skeen and Scott Jones and Carolyn Cruse and AvaGrace Palazzolo and Keith J. Horvath},
  year = {2020},
  url = {http://knowledge.amia.org/72332-amia-1.4602255/t005-1.4604904/t005-1.4604905/3417165-1.4605122/3416584-1.4605119},
  researchr = {https://researchr.org/publication/SkeenJCPH20},
  cites = {0},
  citedby = {0},
  booktitle = {AMIA 2020, American Medical Informatics Association Annual Symposium, Virtual Event, USA, November 14-18, 2020},
  publisher = {AMIA},
}