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About this paper
Arshia Rehman, Saeeda Naz, Imran Razzak
This systematic review comprehensively maps the emerging landscape of big data analytics across five key healthcare sub-disciplines, detailing architectures, techniques, and data repositories. It highlights how big data is applied in areas from medical imaging to public health, while also identifying significant challenges and opportunities for future development in healthcare.
Key insights
- Big data analytics is most mature and evolved within bioinformatics due to the inherent complexity and volume of biological data, whereas other disciplines show promise but require further implementation.
- Unstructured clinical data (approximately 80% of clinical information) requires robust big data tools like Hadoop and NoSQL for conversion into structured, usable forms to enhance retrieval and decision-making.
- Social media data offers a valuable, real-time source for public health surveillance, enabling early detection of disease outbreaks and mental health trends.
Summary by alphaXiv.
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