A Comparative Study of Different Machine Learning Algorithms for Disease Prediction
2017 ◽
Vol 7
(7)
◽
pp. 172
Keyword(s):
Accurate diagnostic detection of the disease in a patient is critical and may alter the subsequent treatment and increase the chances of survival rate. Machine learning techniques have been instrumental in disease detection and are currently being used in various classification problems due to their accurate prediction performance. Various techniques may provide different desired accuracies and it is therefore imperative to use the most suitable method which provides the best desired results. This research seeks to provide comparative analysis of Support Vector Machine, Naïve bayes, J48 Decision Tree and neural network classifiers breast cancer and diabetes datsets.
2018 ◽
Vol 7
(2.8)
◽
pp. 315
◽
2018 ◽
Vol 7
(2.8)
◽
pp. 684
◽
2020 ◽
Vol 9
(1)
◽
pp. 700-704
2020 ◽
Vol 8
(5)
◽
pp. 4624-4627
2020 ◽
Vol 9
(8)
◽
pp. 398-401
2021 ◽
Vol 12
(6)
◽
pp. 225-230