[ANSWER]Week 14 Discussion:Machine Learning in Healthcare

TASK DESCRIPTION

Orion Health (Links to an external site.) has published this nice, non-technical introduction to a topic that has grown substantially in popularity over the past 10-20 years in healthcare and other industries:Machine Learning in Healthcare..

Orion_Health_Introduction_to_Machine Learning in Healthcare.pdf Preview the document

Some of _Machine Learning in Healthcare is about prediction – for example, predicting whether a particular person will be admitted to a hospital in the next month, or whether their chronic disease will worsen. Prediction emphasizes whether an event will occur or not, instead of why it occurs. When predicting with multiple regression, we do not care as much about differences between coefficients as we do about whether the collective set of coefficients and independent variables (i.e., the full, estimated right-hand-side of the regression equation) accurately predicts the dependent variable.

Instructions:

Describe one dependent variable that it would be helpful to predict, either from your project, your healthcare employment, or a hypothetical healthcare context. You do not have to describe the methods that could be used for prediction; you only need to describe the context, the reason why it would be valuable to predict this variable, and some other variables might help predict this variable.

[ANSWER PREVIEW]

An effective predictive model for risk of readmission could literally be a lifesaver for both patients and health facilities. On a broader perspective, hospital readmissions have always been viewed as preventable indicator of poor quality healthcare. The negative impacts of a single instance of readmission to hospitals is incredibly huge…[Buy Full Answer for Just USD 9: 685 WORDS] Go To Home Page

[SOLUTION DESCRIPTION]

Type: Essay

Word Count: 685

Grade/Mark: 90 (Distinction)