Mathematical algorithms for environmental health and pediatric diabetes research by Kate D, Senior Researcher & R&D Scientist. Feel free to add any research or suggestions to support such concept
Novel Mathematical Algorithm Integrating GAN for Constrained Sampling in Pediatric Diabetes Datasets: Detecting Early Traces Amid Environmental Constraints
This repository contains the complete publication including:
- Abstract and Introduction
- Literature Review and Comparative Analysis
- Proposed Mathematical Algorithm (PCC-GAN-EDD)
- Implementation Code
- Statistical Model Examples
- Application and Justification
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index.html- Main publication pagestyles.css- Styling for the publicationscript.js- Interactive functionalityREADME.md- This file
The publication presents a unique hybrid algorithm combining Constrained Pollution-Integrated Sampling Optimization (CPISO) with a novel Generative Adversarial Network (GAN) framework for early diabetes detection in pediatric populations under environmental constraints.