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Python
Artificial intelligence (AI)
2025
ID: 1CP0716
5.Heart Stroke Prediction Using Machine Learning
Keywords:
Heart
Stroke
Prediction,
Machine
Learning,
Healthcare
Analytics,
Feature
Selection,
Random
Forest,
Logistic
Regression
Project Synopsis & Overview
This project develops a machine learning system to estimate an individual's stroke risk using health and demographic information such as age, hypertension, heart disease, glucose level, BMI, smoking status, and blood pressure. The workflow includes data collection, preprocessing, exploratory analysis, feature selection, model training, and evaluation using classification metrics. The selected model can provide risk predictions through a user-friendly interface.
Complete Technical Specifications
| Project ID | 1CP0716 (DB ID: 716) |
| Project Title | 5.Heart Stroke Prediction Using Machine Learning |
| Domain Division | Python |
| Sub-Domain / Tech | Artificial intelligence (AI) |
| IEEE Year | 2025 |
| Package Price | ₹6500 |
| Created Date | Nov 14, 2026 |
Project Price
₹6500
₹8000
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IEEE Journal Paper Synopsis & PPT
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