Pros and cons of data mining in healthcare

Pros And Cons Of Data Mining In Healthcare. The miners can suffer from some skin diseases lungs and respiratory problems which are caused by the chemicals released in the air and water from the mining zones. To be effective and get the full comprehensive look at a patient big data must have access to everything including private records and social media posts. When performing the Data Mining advantages such as. 7 Starting with the collection of individual data elements and moving to the fusion of heterogeneous data coming from different sources can reveal.

Healthcare professionals can therefore benefit from an incredibly large amount of data. The fact that standard data mining is more focused on describing and not explaining the patterns and trends. The use cases for big data analytics in healthcare are nearly limitless and build very quickly off of the patterns identified by data mining such as. Pros of Healthcare Databases. Developing a patient risk score by matching abnormally high utilization rates against medical complexity and socioeconomic factors. When performing the Data Mining advantages such as.

In healthcare data mining is becoming increasingly popular if not increasingly essential.

Healthcare professionals can therefore benefit from an incredibly large amount of data. Pros of Healthcare Databases. We conclude that there are many pitfalls in the use of data mining in healthcare and more work is needed to show evidence of its utility in facilitating healthcare decision-making for healthcare providers managers and policy makers and more evidence is needed on data minings overall impact on healthcare services and patient care. Improvement in the compression of information and knowledge facilitating reading to users. Harmful to human health. The fact that standard data mining is more focused on describing and not explaining the patterns and trends.