Online Health Monitoring using Facebook Advertisement Audience Estimates in the United States: Evaluation Study.

Yelena Mejova Ingmar Weber Luis Fernandez-Luque

Published in: JMIR public health and surveillance (2018)

Facebook's advertising platform provides aggregate data for more than 190 million US adults. We show how disease-specific marker interests can be used to model prevalence rates in a simple and intuitive manner. However, we also illustrate that building effective marker interests involves some trial-and-error, as many details about Facebook's black box remain opaque.

Keyphrases

social media
health information
healthcare
public health
risk factors
mental health
clinical trial
transcription factor
electronic health record
phase iii
machine learning
phase ii
health promotion
single cell
deep learning