Syndromic Surveillance

Syndromic Surveillance has been per- formed using machine learning and other statistical methods to detect disease out- breaks. These methods are largely depen- dent on the availability of historical data …...

Public health surveillance is challenging due to difficulties accessing medical data in real-time. We present a novel, ef- fective and computationally inexpensive method for syndromic surveillance using Twitter data. The …...