Heart Disease Prediction
8000 12000
You Save 33% (Inclusive of all taxes)
- Availibility: In Stock
Product Specification
- Product Name: Heart Disease Prediction System
- Version: 1.0
- Platform: Python 3.x
- Hardware Requirements:
- Raspberry Pi, PC, or similar computing device
- Software Requirements:
- Python 3.x
- Scikit-learn (for machine learning algorithms)
- Pandas (for data manipulation)
- Numpy (for numerical operations)
- Flask (for web interface)
- Matplotlib/Seaborn (for data visualization)
- Functional Requirements:
- Input patient data (e.g., age, gender, blood pressure, cholesterol levels)
- Predict the likelihood of heart disease using a trained machine learning model
- Display prediction results and risk factors
- User-friendly interface for inputting data and viewing results
- Non-functional Requirements:
- High accuracy in heart disease prediction
- Low latency in processing and result generation
- Robustness and reliability in various data conditions
- Scalability for different datasets and model updates
Qty
Secure Transaction
Your Transaction is Secure
We work hard to Protect your Security and Privacy. Our Payment Security System Encrypts your information during transmission.
Share this Link
https://innovativescienceprojects.com/product/heart-disease-prediction
Description
Key Features:
-
Patient Data Input:
- The system allows for the input of patient data, including age, gender, blood pressure, cholesterol levels, and other relevant health metrics.
- Data can be inputted manually or uploaded from electronic health records.
-
Heart Disease Prediction:
- The system uses a pre-trained machine learning model to predict the likelihood of heart disease.
- The prediction model is trained on a dataset of patient records with labeled outcomes to achieve high accuracy.
-
Result Display:
- The system displays the prediction results, including the probability of heart disease and key risk factors.
- Results can be viewed on a screen or through a web interface.
-
User Management:
- An administrative interface allows for managing patient data, updating the prediction model, and viewing historical predictions.
- Users can add, modify, or delete patient records as needed.
Additional information
Reviews
Add a Review
Your email address will not be published. Required fields are marked *
Related Products
×
![]()