Project Abstract

In the current state of healthcare, there’s a need to leverage advanced technologies to enhance patient care. The proposed project endeavors to address this need by developing a tool tailored for uncovering patterns within medical datasets by using visualization techniques. The motivation behind this project is to leverage machine learning techniques to uncover potentially abnormal patterns or correlations that may not be immediately apparent to healthcare professionals. This research proposes the development of a web application that leverages advanced machine learning techniques to analyze large-scale blood datasets. The main aim is to uncover potentially abnormal patterns that could indicate underlying health conditions or risk factors, enabling earlier detection and intervention thus reducing patient stay times and therefore reduce the expenses.

Keywords: Web-based Data Visualization, Data Analysis, Machine Learning

 Conference Details

Session: Presentation Stream 26 at Presentation Slot 2

Location: GH043 at Wednesday 8th 13:30 – 17:00

Markers: George Brooks (GTA), Markus Roggenbach

Course: MSc Computer Science, Masters PG

Future Plans: I’m looking for work