Grand Canyon University Healthcare Data Management and Statistics Discussion
Machine Learning
Objectives:
- Describe machine learning concepts/types used in health care.
- Describe the predictive analytic tool used in supervised and unsupervised learning.
***Based on the above knowledge, discuss the following.
Discuss the difference between supervised and unsupervised machine learning. Provide examples of how machine learning is used in health care.
Discussion 2
Discuss the analytic techniques used to analyze supervised and unsupervised learning. Provide an example.
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
***Make sure to cite your sources.
