Non-Communicable Diseases and Social Media: A Heart Disease Symptoms Application

Social media platforms have become ubiquitous and allow users to share information in real-time. Our study uses data analytics as an approach explore non-communicable diseases on social identify trends patterns of related disease symptoms. Exploring epidemiological is vital given that they prevalent low-income communities, accounting for about 38 million deaths worldwide. We collected multiple conditions from the Twitter microblogging platform zoomed into symptoms heart diseases. As part our analyses, we focussed mechanism occurrences. results show specific may be attributed it viable their occurrences using a structured approach. This can then act supplementary tool support initiatives monitor Based study’s results, surveillance could design effective health intervention strategies.