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An Improved Disease Prediction System Using Machine Learning

Ajay Kumar1 , Kamaleshwar M2 , Sanjay umar K3 , anjith Kumaar R S4 , Arunnehru J5

  1. Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
  2. Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
  3. Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
  4. Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.
  5. Computer Science and Engineering, SRM Institute of Science and Technology, Chennai, India.

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-4 , Page no. 81-85, Apr-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i4.8185

Online published on Apr 30, 2018

Copyright © Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J . 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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IEEE Style Citation: Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J, “An Improved Disease Prediction System Using Machine Learning,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.4, pp.81-85, 2018.

MLA Style Citation: Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J "An Improved Disease Prediction System Using Machine Learning." International Journal of Computer Sciences and Engineering 6.4 (2018): 81-85.

APA Style Citation: Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J, (2018). An Improved Disease Prediction System Using Machine Learning. International Journal of Computer Sciences and Engineering, 6(4), 81-85.

BibTex Style Citation:
@article{Kumar_2018,
author = {Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J},
title = {An Improved Disease Prediction System Using Machine Learning},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2018},
volume = {6},
Issue = {4},
month = {4},
year = {2018},
issn = {2347-2693},
pages = {81-85},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1849},
doi = {https://doi.org/10.26438/ijcse/v6i4.8185}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.8185}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1849
TI - An Improved Disease Prediction System Using Machine Learning
T2 - International Journal of Computer Sciences and Engineering
AU - Ajay Kumar, Kamaleshwar M, Sanjay Kumar K, Sanjith Kumaar R S, Arunnehru J
PY - 2018
DA - 2018/04/30
PB - IJCSE, Indore, INDIA
SP - 81-85
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract

There are lots of disease evolving currently due to change in lifestyle, food habits and sleeping habits and there is a lack of technology to identity these. Disease identification using manual checkups is an accurate way but it consumes a lot of time so we need an alternative that performs diseases diagnosis quick and accurate, this leads to need for data analytics and machine learning. Data analytics we analyze the user data and provide insights to the user. We use machine learning techniques to analyze user data and supervised algorithm such as SVM and unsupervised algorithm such as K-Means clustering are used for classification of the datasets .Random forest is used to create decision trees using user data and important data can be extracted from the decision tree.

Key-Words / Index Term

Support vector machine (SVM), Random Forest(RF).

References

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