ARCHIVES

[1] Akkem Yaganteeswarudu, Multi Disease Prediction Model by using Machine Learning and Flask API, Fifth International
Conference on Communication and Electronics Systems (ICCES 2020) IEEE Conference Record.
[2] Laxmi deepthi Gopisetti, Multiple Disease Prediction System using Machine Learning and Streamlit, IEEE, 2023.
[3] Sneha Grampurohit, Chetan Sagarnal “Disease Prediction using Machine Learning Algorithms” IEEE International Conference
for Emerging Technology (INCET), Jun. 2020.
[4] Lambodar Jena,Ramakrushna Swain ‘‘Work-in-Progress: Chronic Disease Risk Prediction using Distributed Machine Learning
Classifiers’ International Conference on Information Technology. 2017
[5] Datta H.Deshmukh, Tushar Ghorpade, “Improving Classification Using Preprocessing and Machine Learning Algorithms on NSLKDD Dataset”, IEEE, 2015.
[6] “Integrated Xception- Random Forest Model for the Detection of Rheumatoid Arthritis in Hand Thermograms”, 12th IEEE
International Conference on Communication Systems and Network Technologies.
[7] Rojaramani D, ‘Tweak Myocardial Infarction (MI) prognosis method using RFGS ( Random Forest Grid Search ) optimisation for
Machine Learning and Hyper Parameters.’’ in THE INDIAN JOURNAL OF TECHNICAL EDUCATION VOL. 45 JAN-MARCH,
2022
[8] Kedar Pingale, Sushant Surwase, Vaibhav Kulkarni, Saurabh Sarage, Prof. Abhijeet Karve, “Disease Prediction using Machine
Learning”, International Research Journal of Engineering and Technology (IRJET) Volume: 06 Issue: 12 | Dec 2019.
[9] Imesh Udara Ekanayake, Damayanthi Herath, “Chronic Kidney Disease Prediction Using Machine Learning Methods”, IEEE,
2020.