Is it possible to observe diabetes based on text analysis of social media even if
the individual does not intentionally discuss his/her health?
While there is a lot of existing work on prediction of seasonal and pandemic
diseases, to the best of the author’s knowledge, an attempt to diagnose a non-seasonal as
well as a non-pandemic disease, like diabetes, based on an individual’s post on Twitter
has never been done before. Considering the fact that non-pandemic diseases are
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extremely complex due to their similarity of early symptoms with many other diseases, it
becomes very difficult to possibly predict one without having actually met the patient in
person [42]. This thesis, therefore, presents an original work with the following as its
major contributions: