Development of a Web-Based Automatic Analysis System to Analyze Correlations between a Disease and Cancers, Air Pollutants and Cancers(2/2)

Project Details


With the issue of cancer is being taken seriously, more and more cohort studies are conducted to investigate therisk of developing cancer. Therefore the efficiency of research on the epidemiologic studies ought to beconcerned. Currently, none of analysis systems have considered the correlations between a disease and all cancertypes simultaneously. The aim of this study is to implement an automatic analysis system to analyze correlationsbetween a disease and some of site-specific cancers as well as correlations between a pollutant and some cancertypes in a large Taiwanese cohort. We build a website to lead researchers making a query step by step. After eachstep is performed, the system checks the integrity of the query and sends it to the system core to transform intocorresponding SAS codes. Our system executes the SAS file by the statistical software until the end of analysis.The system core converts the SAS output files into result tables and displays on website of analysis system. Then,we construct an air quality database that all air quality data from Taiwan Air Quality Monitoring Network inTaiwan Environment Environmental Protection Administration. A user then can use our web-based input to querythe amount of different air pollutants. For each air pollutant, our system will calculate seasonal distribution ofaggregated daily each air pollutant concentrations of all 73 monitoring stations from a period. Finally, we furtheranalyze correlations between a pollutant and some cancer types in a large Taiwanese cohort. In the first topicabove, we verify the results generated by our system using the outcomes published in journals. In the future, wewill use association rules to mine the correlations between a disease and some of site-specific cancers
Effective start/end date1/08/1831/07/19

UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 14 - Life Below Water
  • SDG 17 - Partnerships for the Goals


  • Cohort study
  • Data Mining
  • Cancers


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.