Design and Development of Machine Learning Techniques for Disease Prediction
Authors: Siddharth Swami; Hiten Kanwar; Anirudh Gambhir; Prabhishek Singh; Manoj Diwakar; Kaushal Kishor
Abstract: Machine Learning is ever advancing field and as more and more research is being done in the field, more applications are being developed for this field and it is now being used in all fields. Also, nowadays people are facing multiples diseases posing danger to human life. This prompted researchers to critically analyse and work to apply Machine learning in the use of prediction of these diseases and using this analysis to assist the medical industry. The idea is to find various datasets of different Diseases like Dengue, Covid-19. Perform analysis on the datasets of these diseases to understand more about them and how much they affect us. There are various models available like KNN, SVM, etc. The task is to work with different models and find out how they perform with data of different diseases and which models are most affective and accurate.
Published in: 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT)
Date of Conference: 23-24 April 2022
Date Added to IEEE Xplore: 08 June 2022
ISBN Information: Print on Demand(PoD) ISSN: 2329-7182
DOI: 10.1109/CSNT54456.2022.9787674
Publisher: IEEE