Project Abstract

This research project focuses on developing a data visualization website for analysing health-related data, specifically utilizing the National Health and Nutrition Examination Survey (NHANES) dataset. The aim is to provide an interactive interface that allows researchers and users to visualize and explore correlations between multiple variables without the need to upload data each time. The project involves developing the NVisualiser Web Application using Java, PHP, and the Laravel framework, along with a MySQL database for storing and managing the NHANES datasets. A Python scraping tool called NHANESLoader is also developed to automate the retrieval of NHANES datasets. The project methodology includes utilizing various technologies and applying correlation methodologies to generate meaningful visualizations and insights from the NHANES dataset. The objective is to improve transparency, facilitate informed decision-making, and contribute to advancements in healthcare research. The project aims to provide researchers with a convenient and efficient way to access and analyse the NHANES dataset, ultimately leading to better patient care and outcomes.

Keywords: Health Informatics, Machine Learnin, Web Development

 Conference Details

Session: Presentation Stream 24 at Presentation Slot 3

Location: College 017 at Wednesday 8th 09:00 – 12:30

Markers: Fabio Caraffini, Nader Al Khatib (GTA)

Course: MSc Data Science, Masters PG

Future Plans: I’m looking for an industry placement