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Complicated mathematical models be delivered at the bedside

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Reference no: EM133155778

-There were two Machine Learning models that were used (Random Forest and Boosting) along with classic Linear Regression models that were used to develop the predictive analysis to determine which patients needed treatment and which ones could be deferred. What were the most important variables in differentiating patients who developed fibrosis progression and those who did not? (Hint - its on pg 1835)

-How can these very complicated mathematical models be delivered at the bedside? What interventions can we deploy to make sure that the people who entrust us to deliver the best possible care to them receive that care? (Hint - read the above Health IT Analytics article or the article from the University of Michigan)

Reference no: EM133155778

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