ISSN2320-2882
Impact Factor9.17
UGC ParametersAligned
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CrossRefDOI
ESTD2013
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Brain Stroke Prediction Using Machine Learning
Authors
Dr. Mrs. S. P. Khandait , Bhuvneshwari Janbandhu , Meghana Parate , Mrunali Barsagade , Nandini Peshne
Keywords
Brain Stroke Prediction Using Machine Learning
Abstract
Brain stroke prediction using machine learning is an emerging field that aims to identify the individuals at high risk of stroke before its onset, enabling timely avoidance and interven-tion. Strokes, a primary cause of death and disability, often result from interruption flow of blood due to clots or vessel rupture. Traditional diagnostic methods can be slow and may miss early warning signs. Machine learning offers a data-driven method by analyzing the important health indicators, daily life factors, and physiological parameters including age, blood pressure, cholesterol, and medical history. Algorithms like logistic regression, en-semble models (e.g., XGBoost, LightGBM) can detect complex patterns to accurately clas-sify patients by risk level. These predictive models support early detection, personalized care strategies, and improved outcomes. Future advancements may integrate real-time ap-plications with wearable devices and hospital systems, enhancing stroke prevention efforts and transforming proactive healthcare delivery.
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IJCRT — journal style
"Brain Stroke Prediction Using Machine Learning", IJCRT - International Journal of Creative Research Thoughts (www.ijcrt.org), ISSN:2320-2882, Vol.13, Issue 11, page no.a743-a748, November 2025, Available :https://ijcrt.org/papers/IJCRT2511084.pdf
APA — 7th edition
Khandait, S. P., Janbandhu, B., Parate, M., Barsagade, M., & Peshne, N. (2025). Brain Stroke Prediction Using Machine Learning. International Journal of Creative Research Thoughts, 13(11), a743-a748. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084
MLA — 9th edition
Khandait, S. P., et al. "Brain Stroke Prediction Using Machine Learning." International Journal of Creative Research Thoughts, vol. 13, no. 11, 2025, pp. a743-a748, https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084.
Chicago — 17th, bibliography
Khandait, S. P., et al. "Brain Stroke Prediction Using Machine Learning." International Journal of Creative Research Thoughts 13, no. 11 (2025): a743-a748. https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084.
Harvard — author–date
Khandait, S.P. et al. (2025) 'Brain Stroke Prediction Using Machine Learning', International Journal of Creative Research Thoughts, 13(11), pp. a743-a748. Available at: https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084
IEEE — numbered reference
S. P. Khandait, B. Janbandhu, M. Parate, M. Barsagade and N. Peshne, "Brain Stroke Prediction Using Machine Learning," IJCRT, vol. 13, no. 11, pp. a743-a748, Nov. 2025.
Vancouver — biomedical
Khandait SP, Janbandhu B, Parate M, Barsagade M, Peshne N. Brain Stroke Prediction Using Machine Learning. IJCRT. 2025 Nov;13(11):a743-a748.
AMA — 11th edition
Khandait SP, Janbandhu B, Parate M, Barsagade M, Peshne N. Brain Stroke Prediction Using Machine Learning. IJCRT. 2025;13(11):a743-a748. Accessed at https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084
BibTeX — Zotero, Mendeley, LaTeX
@article{IJCRT2511084,
author = {S. P. Khandait and Bhuvneshwari Janbandhu and Meghana Parate and Mrunali Barsagade and Nandini Peshne},
title = {Brain Stroke Prediction Using Machine Learning},
journal = {International Journal of Creative Research Thoughts},
volume = {13},
number = {11},
pages = {a743-a748},
year = {2025},
month = {November},
issn = {2320-2882},
url = {https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Khandait, S. P.
AU - Janbandhu, Bhuvneshwari
AU - Parate, Meghana
AU - Barsagade, Mrunali
AU - Peshne, Nandini
TI - Brain Stroke Prediction Using Machine Learning
T2 - International Journal of Creative Research Thoughts
JA - IJCRT
VL - 13
IS - 11
PY - 2025
SN - 2320-2882
UR - https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084
SP - a743-a748
ER -
Issue
Volume 13 Issue 11,
November-2025
Pages : a743-a748
Article Information
- Published In
- International Journal of Creative Research Thoughts — Volume 13, Issue 11, November 2025
- Pages
- a743-a748
- Published
- November 2025
- Registration ID
- IJCRT_296046
- Published Paper ID
- IJCRT2511084
- Research Area
- Science and Technology
- Author Type
- Indian Author
- Location
- India
- Peer Review
- Request Peer Review Report
- Licence
- CC BY 4.0 · Open Access
- ISSN & Impact Factor
- 2320-2882 · IF 9.17
- Downloads
- 231
- Permanent Link
- https://ijcrt.org/viewpaperforall.php?paper=IJCRT2511084
- Published Paper PDF
- https://ijcrt.org/papers/IJCRT2511084.pdf
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International Journal of Creative Research Thoughts
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