Disease Prediction from Drug Information using Machine Learning

Authors

Shuvendu Das, Institute of Engineering and Management, Kolkata, IndiaFollow
Sainik Kumar Mahata, Institute of Engineering and Management, Kolkata, IndiaFollow
Abhishek Das, Bengal College of Engineering, Durgapur, IndiaFollow
Koushik Deb, Institute of Engineering and Management, Kolkata, IndiaFollow

Abstract

Drug reviews play a very important role in providing crucial medical care information for both healthcare professionals and consumers. Also, in the absence of an actual practicing healthcare professional, a consumer can look for an online review of drugs before making a purchase. But these reviews are generally unstructured in nature and often do not provide concise information on the disease/nature of the disease, the drugs are prescribed for. In this scenario, a learning model that can be trained to predict the disease/type of disease, when provided with a drug name and its corresponding review, becomes very important. To mitigate the above-mentioned issue, we present and compare various machine learning-based prediction models. Also, the performance of each of the models has been quantified using metrics such as precision, recall, F1-Score, and accuracy.

Recommended Citation

Das, Shuvendu; Mahata, Sainik Kumar; Das, Abhishek; and Deb, Koushik (2024) "Disease Prediction from Drug Information using Machine Learning," American Journal of Electronics & Communication (AJEC): Vol. 1: Iss. 4, Article 3.
Available at: https://research.smartsociety.org/ajec/vol1/iss4/3