Using Data Analytics to Predict, Detect and Monitor Chronic Autoimmune Diseases

According to the American Autoimmune Related Diseases Association, autoimmune diseases are among the most prevalent diseases in the U.S., affecting approximately 50 million Americans — or 20 percent of the population. Among the 80–100 different types of autoimmune diseases […]

According to the American Autoimmune Related Diseases Association, autoimmune diseases are among the most prevalent diseases in the U.S., affecting approximately 50 million Americans — or 20 percent of the population. Among the 80–100 different types of autoimmune diseases that have been identified by researchers, annual direct health care costs add up to around $100 billion

Health care analytics give health professionals new information — processed and validated by knowledgeable data scientists — to determine accurate diagnoses and optimal treatment plans. The future holds more promise as predictive and prescriptive analytics afford the ability to predict and monitor disease — not just detect it.

Read more of this article from Towards Data Science.

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October 5, 2018

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