Feature Subset Selection from Patient Opinions
Keerthika, R.
The aim of this study is to extract relevant features from patient opinions in the medical domain using feature subset selection techniques. With the increasing availability of patient feedback in electronic health records, there is a need to efficiently process and analyze large volumes of unstructured text data. The proposed approach utilizes a bag of words model to represent patient opinions and employs sentiment analysis techniques to extr...