Machine Learning in Anemia Detection: A Force for Healthcare

In healthcare, powerful allies we need – and machine learning has proven to be one of the strongest. I recently developed a system that predicts anemia with 99% accuracy using Random Forest Classification. Let me share this journey with you.

The Challenge at Hand

Anemia affects millions worldwide, and traditional detection methods take considerable time. Our mission was clear:

Quick assessment using blood test parameters
Accurate predictions through machine learning
Accessible interface for all healthcare professionals

Our Technical Arsenal ️

For this quest, we chose powerful tools:

Python for core implementation
scikit-learn for machine learning capabilities
Flask for web application
SMOTE for handling data imbalance

The Machine Learning Path 🧪

Data Preparation

Five key parameters, measure we must:

Hemoglobin Levels
Mean Corpuscular Volume (MCV)
Mean Corpuscular Hemoglobin (MCH)
Mean Corpuscular Hemoglobin Concentration (MCHC)
Gender

Balancing the Data

Imbalanced data, our greatest challenge it was. Using SMOTE, we achieved perfect balance: 801 samples per class, critical for unbiased training.

Model Performance

Algorithm	Accuracy	AUC
Random Forest	99%	99%
Logistic Regression	98%	98%
SVM	90%	90%
KNN	87%	87%

The Random Forest algorithm emerged victorious, showing exceptional performance across all metrics.

Feature Importance: Understanding Our Strength

Our analysis revealed:

Hemoglobin: The strongest predictor (83.9%)
Gender: A significant factor (9.1%)
MCH: Contributing 2.7% to accuracy

The Web Application: Knowledge Shared

Experience it here: Anemia Detection Web App

Explore the code: GitHub Repository

Future Developments

The journey continues with plans for:

Expanding our dataset
Implementing XGBoost models
Cloud platform deployment

Join Our Community 🤝

Together, stronger we become. Contribute through:

Testing and feedback
Feature suggestions
Code contributions

This project remains open-source under the MIT License.

Have you explored similar healthcare projects? Share your experiences below!

MachineLearning #Healthcare #DataScience #Python #OpenSource

原文链接：Building an Anemia Detection System Using Machine Learning

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