Precision public health is an emerging practice to more granularly predict and understand
public health risks and customize treatments for more specific and homogeneous …

Sentiment analysis through machine learning using Twitter data has become a popular topic
in recent years. Here we address the problem of sentiment analysis during critical events …

We developed computational models to predict the emergence of depression and Post-
Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history …

We conduct the largest ever investigation into the relationship between meteorological
conditions and the sentiment of human expressions. To do this, we employ over three and a …

This narrative review examined the following research questions: 1) What are the
characteristics and outcomes of social media-based diet/weight loss studies to date? 2) …

A common task in computational text analyses is to quantify how two corpora differ
according to a measurement like word frequency, sentiment, or information content …

Thinspiration and fitspiration represent contemporary online trends designed to inspire
viewers towards the thin ideal or towards health and fitness respectively. The aim of the …

The emergence and global adoption of social media has rendered possible the real-time
estimation of population-scale sentiment, an extraordinary capacity which has profound …

Background: Social media play an important role in plastic surgery, yet there are limited
studies in the literature to guide plastic surgeons' social networking practices. To address …

Background: Social media has the capacity to afford the healthcare industry with valuable
feedback from patients who reveal and express their medical decision-making process, as …