CRC App

A project by Group T (CRC App Team)

  • Mohammad Sayeed Mohsin Al Aubasani
  • Shadman Iztihad Bhuiya
  • Abdurrahman Mohammed Omar Al-Tamimi
  • Muhammad Raditya Nayatama

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Why is CRC (Cardiovascular Risk Checker) important?

Being the leading cause of death for the last 20 years, heart diseases are now killing more than ever before. It now represents 32% of total deaths from all causes. Therefore, it is important to raise awareness about this issue and provide easy methods for the public to assess their cardiovascular risk.

Stakeholders

All adults above the age of 35.

Data Science Process

Question: What are the risk factors for the leading cause of death in the 21st century world and are they preventable?

Finding Data

Description of the data set: In this research, two data sets were used and for both we relied largely on the estimates presented in the Global Burden of Disease (GBD) studies that are produced under the leadership of the Institute for Health Metrics and Evaluation (IHME).

Getting Data

The data sets are freely and easily accessible to the public through the website https://ourworldindata.org/ .

Cleaning Data

Due to the ease of use of R programming language, cleaning, sub-setting and other functions were easy and simple to do

Analyzing Data

After plotting graphs and analyzing the data our group reached the conclusion that Cardiovascular diseases are the leading cause of death in the modern world. So we began our research on how we data science students can do our part in helping society.

Presenting Data

  1. Raise Awareness on this issue through data, storytelling and visualization.
  2. Provide easy methods for people to assess their cardiovascular risk
  3. Use data to help people make better life choices.

Summary of Experience

We had fun making this app and we are really happy that this app can be used to help people around the world. We executed most of what we planned to do. We faced a few problems on the risk assessment part, for which we tried a decision based tree algorithm and also tried using simple neural networks. But both the approaches had huge limitations as they were only based on yes or no questions. So instead we adopted a chart based method for risk assessment.

Check out the Cardiovascular Risk Checker Shiny App here: https://md-al-aubasani.shinyapps.io/CRC-App/

Source Code for this application can be found here: https://github.com/Md-Al-Aubasani/CRCwia1007