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Skin Disease Prediction Using Machine Learning - Coggle Diagram
Skin Disease Prediction Using Machine Learning
Data Collection
Patient Data
Image Data
Data Sources
Data Preprocessing
Image Processing : Augmentation, Normalize, Gaussian blur
Labeling : Images with disease categories
Splitting Data
Feature Extraction
Image Features
Manual Features
Deep Learning Features: CNNs
Evaluation
Metrics: Accuracy, Precision, AUC-ROC
Validation: Cross-validation
Model Selection
Logistic Regression
Support Vector Machine
Convolutional Neural Networks
Model Training
Supervised Learning
Hyperparameter Tuning
Prediction
Input: New skin images
Output: Disease classification
Deployment
Website : For real-time skin disease diagnosis