Domain Led Time Series Analysis of Cardiovascular Disease Using Open Data - Does Reduction in Coronary Disease Increase Heart Failure Prevalence?

Alicja Jasinska-Piadlo (Lead / Corresponding author), Raymond Bond, Pardis Biglarbeigi, Patricia Campbell, D. McEneaney

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Accessing healthcare data for research purposes is lengthy and requires a data controller and ethical approval. There are, however, open data that exist in the public domain that can be freely accessed and used for research purposes. We performed a time series analysis of cardiovascular disease trends in Northern Ireland during the years 2010-2020. We accessed the Raw Disease Prevalence Data for NI from the Quality Outcomes Framework (QOF) published on the government website. Statistical analysis was performed to explore trends in prevalence for patients with coronary artery disease (CAD), heart failure (HF), and atrial fibrillation (AF). Data analysis was performed using MATLAB version R2021b. There was a significant increase in the prevalence of patients with HF and AF against a steady decrease of coronary artery disease prevalence in NI population. The prevalence of HF was higher in GP practices located more than 60 minutes drive from two primary PCI centers in NI. Our analysis shows that publicly available data have useful research value when research questions are asked by clinical experts.

Original languageEnglish
Title of host publication2021 Computing in Cardiology (CinC)
Number of pages4
ISBN (Electronic)9781665479165
ISBN (Print)9781665467216
Publication statusPublished - 10 Jan 2022
EventCinC 2021: Computing in Cardiology - Brno, Czech Republic
Duration: 13 Sept 202115 Sept 2021

Publication series

ISSN (Print)2325-8861
ISSN (Electronic)2325-887X


ConferenceCinC 2021
Country/TerritoryCzech Republic


  • Heart
  • Statistical analysis
  • Time series analysis
  • Sociology
  • Medical services
  • Market research
  • Cardiovascular diseases

ASJC Scopus subject areas

  • General Computer Science
  • Cardiology and Cardiovascular Medicine

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