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Analyzing Research Trends in Digestive Disease Week Publications

Project Overview

This research project analyzes gastrointestinal (GI) publications from Digestive Disease Week (DDW) conferences over the past 5-6 years. The study focuses on:

  • Tracking changes in abstract publications
  • Analyzing the impact of COVID-19 on research trends
  • Utilizing GPC-4 Neural Network for data analysis
  • Identifying patterns and trends in gastroenterology research

Repository Structure

.
├── data/
│   ├── raw/                  # Original DDW abstract datasets
│   └── processed/            # Cleaned and processed datasets
├── src/
│   ├── preprocessing/        # Data cleaning and preparation scripts
│   ├── analysis/            # Statistical analysis scripts
│   ├── visualization/       # Data visualization code
│   └── models/              # GPC-4 Neural Network implementation
├── tests/                   # Unit tests and integration tests
├── docs/                    # Documentation and research notes
│   └── figures/            # Generated figures and visualizations
└── requirements/           # Project dependencies

Setup Instructions

  1. Clone the repository
git clone https://github.com/yourusername/IdentifyingResearchTrends.git
cd IdentifyingResearchTrends
  1. Create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
  1. Install dependencies
pip install -r requirements/requirements.txt

Data Collection

The project analyzes DDW publications from 2018-2023, focusing on:

  • Abstract submissions
  • Research categories
  • Author demographics
  • COVID-19 related research
  • Geographic distribution

Analysis Pipeline

  1. Data Extraction: Automated scraping of DDW abstracts
  2. Preprocessing: Cleaning and standardizing data
  3. Neural Network Analysis: GPC-4 implementation for trend identification
  4. Statistical Analysis: Multi-variable statistical analysis
  5. Visualization: Generation of figures and trends.

Authors

  • Aakash Suresh
  • Dr. John Clarke

Acknowledgments

  • Stanford University
  • DDW Conference Organization

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Identified research trends in the DDW (gastrointestinal) conference using Docker & LSTM.

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