Furthermore, there is good evidence that detecting communities at risk using computational models trained on social media data is possible<cite> (Fried et al., 2014</cite>; Culotta, 2014) . However, in all cases, classification is made on aggregated data from cities, counties, or states, so these models are not immediately applicable to the task of classifying individuals. Our work takes the first steps towards transferring a classification model that identifies communities that are more overweight than average to classifying overweight (and thus at-risk for T2DM) individuals.