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GenDatr: Visualizing Probabilistic Data Generation in Medical Data Science

  • ZongPoh Loo,
  • AngKang Tan,
  • Clement JunKai Choo,
  • Shaun JiaLe Tay,
  • XueEr Lim,
  • Jeremiah XianMing Loh,
  • Andrew Ge-Hall,
  • Peter ChunYu Yau,
  • Dennis Wong

摘要

The PERN stack is a robust technology stack for modern web application development. It comprises PostgreSQL, Express.js, React, and Node.js. This project introduces the GenDatr web application, showcasing Integrant Labs’ innovative pursuits. As a Single Page Application (SPA), it seamlessly integrates new data insights and predictive models, enhancing user experience. PostgreSQL ensures robust data management, Express.js facilitates efficient backend server and API development, React enables dynamic and user-friendly interfaces, Node.js supports scalable server-side execution. By employing Agile Methodology, we ensured iterative progress and adaptability throughout the project’s phases. Together, these components ensure the GenDatr application is robust, efficient, and scalable, reflecting GenDatr’s commitment to advancing research and development through an immersive, interactive platform.