Analysis of Cardiovascular Diseases Data using Tableau Visualization Tool

 Cardiovascular Disease (CVD) is the most frequent and widespread disease in India and around the world, encompassing a wide spectrum of disorders affecting the heart and blood vessels. According to the WHO, 17.9 million people died from cardiovascular disease in 2010, and this number is expected to rise to 24.2 million by 2030. Transthoracic Echocardiography techniques can assist clinicians diagnose heart and blood vessel disorders and conditions in adults and children, which can aid in the diagnosis of CVDs. The most difficult and difficult responsibility for the medical community is to diagnose CVD patients in a timely manner. The effectiveness of visualisation in revealing and expressing the main information in a big CVD dataset using Tableau is demonstrated in this study. Data visualisation is one of the most important aspects of working with various data analytics solutions, which can help with tasks like tracking the geographic distribution of diseases, analysing disease prevalence, reviewing medical records, predicting outbreaks, and identifying at-risk populations in cardiovascular disease. The goal of this project is to use Tableau to describe the demographic patterns in the CVD database. It was applied to 12721 records with a sex-wise distribution of echocardiogram records, and it was discovered that 7511 (59%) of the reports were for male patients and 5210 (41%) of the reports were for female patients at JSS Hospital’s Cardiology Department in 2016. This research has offered a preliminary assessment of the most widely used solutions in the CVD data visualisation ecosystem. We can analyse and visualise the results, which show that men appear to be more prone to cardiovascular problems than women. Cardiovascular disease is more common in people over the age of 39, and there are more records in the 60-80 age range. The study on CVD data analysis with Tableau can aid in the comprehension of huge and complex data.

Author(s) Details:

N. Chaithra,
Division of Medical Statistics, School of life sciences, JSS Academy of Higher Education & Research, India.

B. Madhu,
Department of Community Medicine, JSS Medical College, JSS Academy of Higher Education & Research, India.

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