Computer Science Homework Help
Grand Canyon University Healthcare Data Management and Statistics Discussion
Machine Learning
The purpose of this assignment is to describe and evaluate machine learning processes and techniques used in health care. In an 850-1,000-word essay, address the following:
- Describe the difference between labeled data sets and unlabeled data sets.
- Pick either supervised or unsupervised machine learning and discuss the type analytic tool that is used to analyze the data sets.
- Discuss the rationale for selecting the analytic tool that was selected to analyze supervised vs. unsupervised machine learning.
- Discuss the machine learning process?
- Provide examples of the uses of machine learning in health care.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
Resources
Read “Machine Learning in Medicine: A Practical Introduction,” by Sidey-Gibbons and Sidey-Gibbons, from BMC Medical Research Methodology (2019).
URL: https://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-019-0681-4
Read “Prediction of Hospitalization Due to Heart Diseases by Supervised Learning Methods,” by Dai et al., from International Journal of Medical Informatics (2015).
URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314395/
View “Machine Learning Zero to Hero (Google I/O’19),” by TensorFlow (2019), located on the YouTube website.
URL: https://www.youtube.com/watch?v=VwVg9jCtqaU
View “Holzinger Group Welcome to Students,” by Holzinger (2016), located on the YouTube website.
URL: https://www.youtube.com/watch?v=lc2hvuh0FwQ&feature=youtu.be
