Cynthia Rudin: Using Data to Predict Your Future Health

MIT Sloan Asst. Prof. Cynthia Rudin

From Huffington Post

Have you ever gone on a trip and unexpectedly found yourself in need of medical care? What if your condition could have been predicted? Better yet, what if you already had the medicine needed to treat that condition in your luggage?

The Hierarchical Association Rule Model (HARM), which I co-developed with Tyler McCormick of the University of Washington and David Madigan of Columbia University, can help patients be better prepared by warning them (and their doctors) about the conditions they may likely experience next. The predictive modeling tool checks data about an individual patient against other patients in the database with similar situations to help determine future conditions. It also alerts patients about any higher risks they may have for certain types of conditions.

Read the full post at The Blog

Cynthia Rudin is an assistant professor of statistics at MIT Sloan School of Management

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