Data analytics is applied to discover trends and patterns in health care data, and it predicts future events based on the discoveries. Compare and contrast data analytics, specifically the use of explanatory or predictive analysis, that you might employ for analyzing health data.

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Explanation:

Data analytics continues to spread its wings across several sectors and industries, thanks to its ever improving ability to model and make accurate predictions once fed with the right data. In health, data analytics may be very useful in predicting the future ; the possibility of a patient developing a terminal or major health problem using trends and patterns from the patient's health history. With this predictive power aided by the synergy of statistics, data mining, modeling and other data tools, explanation and prescription of possible management strategies could be developed based on previous health management data. Similarly forward and backward analysis of available data may be key in giving salient explanation as to the cause of diseases and spread of viruses. Various Artificial intelligent models have been integrated in scanningvabd testing machines which are used to scan through a patient's system to detect possible malfunction and analyze general wellbeing.

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