BIA672 Artificial Intelligence for Healthcare (3 cr.)

Prerequisite(s): BIA630 
This course covers the collection of data and the use of information as an asset in a healthcare organization.  Students learn how to collect and transform data for use in an artificial intelligence project using R-Studio. Students study patterns using machine learning techniques and incorporate business strategy in their analysis.

Upon completion of this course, students are expected to be able to do the following:

1. Assess data quality in patient and operational healthcare data.
2. Evaluate standards of excellence in data collection methods for artificial intelligence.
3. Build a quality dataset from raw data for use in machine learning models.
4. Create data mining predictions with categorical regression and data transformation. 
5. Implement statistical models to study and improve model accuracy.