Case Study Implementation of the Research Paper here which deals about Artificial Neural Networks and Latent Semantic Analysis for Adverse Drug Reaction Detection related to Neuro Fuzzy and Genetic Programming subject.
The "ADR Test" file uses Latent Semantic Analysis (LSA) to analyze user-reported Adverse Drug Reactions (ADRs). This file identifies hidden patterns and associations in the text, helping to better understand user experiences with various drugs.
The "Accuracy" file compares the performance of the LSA model with other machine learning models using F-Scores. It evaluates which model is most accurate in predicting ADRs, ensuring the best approach for analyzing user-reported data.