Abstract
Healthcare data can be collected from various sources, including sensors, and conventional electronic records, photographs, data from clinical notes/biological literature, among others. The variation in data representation and gathering gives rise to issues in both data interpretation and processing. The methodologies required to analyze these diverse sources of data exhibit considerable variation. The presence of heterogeneity within the data gives rise to a distinct set of challenges when it comes to the processes of integration and analysis. This article presents a detailed review of healthcare data analytics and the respective data sources. Secondly, it discusses advanced data analytics for the healthcare sector, and its practical systems as well as applications of healthcare data analytics.
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