A Dictionary-based Oversampling Approach to Clinical Document Classification on Small and Imbalanced Dataset

Medical document classification is one of the prominent research problems in document classification domain. As medical discharge notes are collected from real patients, they are often imbalanced. Moreover, these datasets are usually too small for data-hungry models (specially in rare disease cases). Both of these issues can lead to poor classification performance. In this work a new probabilistic...