ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
Low Cost₹1501 / $59
CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Heart Disease Prediction System
Authors
Priyanka Gaikwad , Anil Gujar
Keywords
support vector machine, heart disease, machine learning, supervised, unsupervised.
Abstract
The healthcare is one of the important research field in the current situation with the rapid improvement of technology and data. The primary concern of this research work is the usage of machine learning techniques for predicting heart diseases using clinical and symptom-related information. Considering the fast-growing volume of medical records, it becomes difficult to rely on conventional approaches to the analysis of data. Machine learning is used to examine huge amounts of data quickly and detect patterns linked to diseases. To build predictive models, the present study employs the dataset related to Cleveland Heart Disease, provided by the UCI Machine Learning Repository available at Kaggle. Several approaches to classifying information and developing predictive models will be examined, such as the Support Vector Machine, Decision Tree, and Random Forest. In particular, the Support Vector Machine (SVM) technique is important to discuss because it is highly effective in solving classification problems by defining an optimal hyperplane to differentiate points in multidimensional space. This System will be implemented using SVM Algorithm. It is classification based machine learning algorithm.
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IJCRT — journal style
"Heart Disease Prediction System", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.14, Issue 5, page no.a535-a540, May 2026, Available :https://ijcrt.org/papers/IJCRT2605071.pdf
APA — 7th edition
Gaikwad, P., & Gujar, A. (2026). Heart Disease Prediction System. International Journal of Creative Research Thoughts, 14(5), a535-a540. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071
MLA — 9th edition
Gaikwad, Priyanka, and Anil Gujar. "Heart Disease Prediction System." International Journal of Creative Research Thoughts, vol. 14, no. 5, 2026, pp. a535-a540, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071.
Chicago — 17th, bibliography
Gaikwad, Priyanka, and Anil Gujar. "Heart Disease Prediction System." International Journal of Creative Research Thoughts 14, no. 5 (2026): a535-a540. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071.
Harvard — author–date
Gaikwad, P. and Gujar, A. (2026) 'Heart Disease Prediction System', International Journal of Creative Research Thoughts, 14(5), pp. a535-a540. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071
IEEE — numbered reference
P. Gaikwad and A. Gujar, "Heart Disease Prediction System," IJCRT, vol. 14, no. 5, pp. a535-a540, May. 2026.
Vancouver — biomedical
Gaikwad P, Gujar A. Heart Disease Prediction System. IJCRT. 2026 May;14(5):a535-a540.
AMA — 11th edition
Gaikwad P, Gujar A. Heart Disease Prediction System. IJCRT. 2026;14(5):a535-a540. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2605071,
author = {Priyanka Gaikwad and Anil Gujar},
title = {Heart Disease Prediction System},
journal = {International Journal of Creative Research Thoughts},
volume = {14},
number = {5},
pages = {a535-a540},
year = {2026},
month = {May},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Gaikwad, Priyanka
AU - Gujar, Anil
TI - Heart Disease Prediction System
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 14
IS - 5
PY - 2026
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071
SP - a535-a540
ER -
Issue
Volume 14 Issue 5,
May-2026
Pages : a535-a540
Article Information
- Pages
- a535-a540
- Published
- May 2026
- Registration ID
- IJCRT_307579
- Published Paper ID
- IJCRT2605071
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- Pune, Maharashtra, India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 186
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2605071
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2605071.pdf
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International Journal of Creative Research Thoughts
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2320-2882
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No external funding was received for this study.
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Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal of Creative Research Thoughts for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
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