1. Portfolio
Project Poster
INTRODUCTION
In order to make a large volume of
important medical data of patients more
intuitive for better prediction purpose, a
visualization system using graphs or
charts to intuitively display medical
examination results will be highly
promising. Our system has made
attempt to bridge the gap that the
existing systems lack the ability to
intuitively visualize raw data by providing
vivid ways to enhance the readability of
boring data by visual presentation. The
whole system includes regional
summary visualization part and
individual visualization part. And this
poster is going to show the design and
implementation of individual visualization
part.
USER REQUIREMENTS
• Individual health trend throughout
years visualization
• Individual overall health status
indication visualization
• Individual health summary(PHI)
visualization
• Disease connection between
patients
• Search Function
Geriatric Health StatusPrediction System
By: Shuai Yuan Supervisor: A/Prof. Xue Li
PRIMARY TECHNIQUE
• Python-Django framework
• D3.js(A JavaScript library)
• AJAX
• JQuery
• MySQL
DEVELOPMENT TOOL
• Eclipse
• Visual Studio Code
DATASET
• Geriatric Medical Examination (GME)
Dataset
• Cause of Death (COD) Dataset
PROJECT PROCESS
MAJOR SYSTEM RESULTS
Fig 1. Line chart (Individual health trend)
Fig.2 “Fingerprint” model (Overall health status)
Fig. 3 Bar chart (Individual PHI )
Fig. 4 Bar chart (Disease connection between
patients)
Fig.5 Search Function
SYSTEM WORKING PROCESS
Implementation
TestingEvaluation
Scope Identification
System Environment
Configuration
System Design
Data retrieval
(AJAX/SQL query)
Graph visualization Search Table
Data processing and
reconstruction