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Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction

Surender Singh1 , Jyoti 2

Section:Research Paper, Product Type: Journal Paper
Volume-8 , Issue-12 , Page no. 94-97, Dec-2020

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v8i12.9497

Online published on Dec 31, 2020

Copyright © Surender Singh, Jyoti . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: Surender Singh, Jyoti, “Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction,” International Journal of Computer Sciences and Engineering, Vol.8, Issue.12, pp.94-97, 2020.

MLA Style Citation: Surender Singh, Jyoti "Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction." International Journal of Computer Sciences and Engineering 8.12 (2020): 94-97.

APA Style Citation: Surender Singh, Jyoti, (2020). Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction. International Journal of Computer Sciences and Engineering, 8(12), 94-97.

BibTex Style Citation:
@article{Singh_2020,
author = { Surender Singh, Jyoti},
title = {Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2020},
volume = {8},
Issue = {12},
month = {12},
year = {2020},
issn = {2347-2693},
pages = {94-97},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5286},
doi = {https://doi.org/10.26438/ijcse/v8i12.9497}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v8i12.9497}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5286
TI - Condition Based Disease Detection Using Machine-Learning Algorithms Based Prediction
T2 - International Journal of Computer Sciences and Engineering
AU - Surender Singh, Jyoti
PY - 2020
DA - 2020/12/31
PB - IJCSE, Indore, INDIA
SP - 94-97
IS - 12
VL - 8
SN - 2347-2693
ER -

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Abstract

Diseases are increasing rapidly now a days due to number of reasons. It will be very helpful to cure that disease if we predict occurrences of diseases in the early stages. Even though doctors and health centers collect data daily but most of them are not using machine learning and pattern matching techniques to extract the knowledge that can be very useful in prediction. We have chosen dataset of liver diseases to evaluate prediction algorithms in an effort to reduce burden on doctors. In our work, we have trained eight models Logistic Regression, Random Forest, XGBoost, KNN, Decision Trees, SVC, Gradient Boosting and Neural Network. The analysis compare all these models and choose the best model.

Key-Words / Index Term

Data Mining, Classification, Decision Tree, Liver Disease

References

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