2022/1/13

Detection of blood sugar level in diabetes diagnosis

WQD7001 Principles of Data Science

13 January 2022

  • Di Bei s2013283
  • Can Sun s2104926
  • Sheng Dong s2118080
  • Thoo Pooi Luen 17218141
  • Bingyan Li s2100331

App url: https://crispopopo.shinyapps.io/Test/
code:

About The App

Features

  • Pregnancies

  • Glucose

  • BloodPressure

  • SkinThickness

  • Insulin

  • BMI

  • DiabetesPedigreeFunction

  • Age

Detection of blood sugar level in diabetes diagnosis

Do you want to check your blood sugar levels?

Purposes

  • Figure out what factors could affect the blood sugar of diabetics.
  • Compare out what algorithm works the best in prediction blood sugar problem of diabetic.
  • Find out what method we could use to collect patient blood sugar.

Who can use?

The patient who has diabetes or anyone who wants test their own blood sugar.

Dataset and Data Science Process

The dataset consists about 768 recipes and consists of 8 attributes in the original datasets.
Data source：https://www.kaggle.com/mathchi/diabetes-data-set

Data Science Process:

Design a shiny app to collect the blood sugar, height, weight, blood press …
From the date we collect we could combine the blood situation and personal detail to analyze the patient status and provided health diet and predict the high risk.

Summary of Experience

  • How to check blood glucose levels and make health judgments
  • Process the data ready for modelling by using different libraries in RStudio.
  • Understand and build up the shiny app architecture.