Drug Recommendations Using a Reviews and Sentiment Analysis by Recurrent Neural Network

Authors: Begum SG and Sree PK*

DOI: 10.23880/jqhe-16000335

Volume 6, Issue 3

Abstract

Drug Recommendation systems are the systems that have the capability to recommend drugs. On daily basis a huge amount of data is being generated by the patients. all this valuable data can be properly utilized for creating a reliable drug recommendation system. In this presented paper, we recommend a system for drug recommendations. The main scope of our system is to predict the correct medication based on reviews and ratings. Our proposed system uses natural language processing techniques (NLP), Recurrent neural network (RNN).and we also considering various metrices like Precision, Recall, Accuracy, f1 Score, roc curve as the measures of our system performance. Natural Language processing techniques are being used for gathering useful information from patients data, and RNN is a machine learning methodology, that works really well in analysing textual data. The system considers various patient data attributes like age, gender, dosage, medical history, symptom in order to make appropriate predictions. The proposed system has the potential to help medical professionals in making informed drug recommendations.

Keywords: Recurrent Neural Network (RNN); Natural Language Processing (NLP)

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