AI-Powered Stroke Prediction System

Seshan Saravanan

Data Scientist
ML Engineer
AI Developer
Matplotlib
Python
scikit-learn

AI-Powered Stroke Prediction System: Machine Learning for Early Detection

Project Overview
Developed an advanced AI-based system for predicting stroke risks using machine learning algorithms, such as Random Forest and other models. The solution was designed to help healthcare professionals make timely, data-driven decisions, potentially saving lives by identifying at-risk patients before a stroke occurs.
Objective
Create an intelligent, scalable model for accurate stroke risk prediction that leverages machine learning to identify key health factors and forecast stroke likelihood with high precision.
My Role
Data Collection & Preparation: Led the process of collecting and cleaning a comprehensive health dataset to ensure high-quality input for predictive analysis.
Machine Learning Model Development: Built and fine-tuned multiple models like Random Forest and Logistic Regression, achieving a 90% prediction accuracy.
Model Comparison & Optimization: Performed comparative analysis between different models to select the most effective algorithm for the task.
Collaborative Approach: Worked closely with healthcare professionals to ensure the model aligned with clinical standards and real-world applications.
Outcome: Delivered a predictive tool capable of identifying stroke risk with 90% accuracy, enabling better decision-making in clinical environments.
Tools & Technologies
Machine Learning: Random Forest, Logistic Regression, Support Vector Machine (SVM), KNN
Data Science Tools: Python, Scikit-learn, Pandas, NumPy, Matplotlib
Skills: Data Cleaning, Feature Engineering, Model Validation, Predictive Modeling, Cross-validation
Key Benefits
Early Intervention: Helps healthcare providers identify high-risk patients and take preventive measures early.
Improved Accuracy: Achieved a 90% prediction accuracy, significantly improving the reliability of stroke detection systems.
Scalability: The system is adaptable to other healthcare settings and can be easily integrated into existing hospital management systems.
Client-Focused Solutions: Whether you're in healthcare, tech, or consulting, I can help you leverage AI and machine learning for impactful, data-driven solutions.
Visuals
Graphs and Charts
Graphs and Charts
Summary of Model Accuracy
Summary of Model Accuracy
Call to Action (CTA)
Looking to integrate predictive AI models into your healthcare solutions? Let’s collaborate to build intelligent systems that can transform healthcare and improve patient outcomes!
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