Create info.txt

info.txt

@@ -0,0 +1,44 @@
+# MLP Neural Network LDL Regressor
+
+This is a machine learning-based **LDL cholesterol estimation tool** developed using a **Multi-Layer Perceptron (MLP) regressor**.
+
+## 🔍 How it works
+
+This model estimates **Low-Density Lipoprotein (LDL)** cholesterol based on three standard lipid profile inputs:
+
+- **Total Cholesterol (TC)** in mg/dL  
+- **Triglycerides (TG)** in mg/dL  
+- **HDL Cholesterol (HDL)** in mg/dL  
+
+From these, it internally calculates:
+
+- **Non-HDL Cholesterol (NHC)** = TC - HDL  
+- **TG/NHC Ratio** = TG / (TC - HDL)  
+
+The model was trained on curated clinical lipid datasets and outperformed conventional LDL estimation formulas and other machine learning models in terms of adjusted R² and RMSE.
+
+## ⚙️ Model Details
+
+- Type: Multi-Layer Perceptron (Neural Network)
+- Features used: TC, NHC, TG/NHC
+- Trained using: `scikit-learn` MLPRegressor
+
+## 🧪 Use Cases
+
+- Research labs
+- Clinical simulations
+- Biochemistry education
+- Digital health platforms
+
+---
+
+### 📜 Copyright
+
+© 2025 **Dr. Saurav Nayak**  
+Assistant Professor
+Department of Biochemistry
+IMS & SUM Hopsital Campus-2
+
+The KALP.AI Inititaive
+ 
+All rights reserved.