Homework
Length: 10 to 15 slides.
Overview
In this homework you will examine how machine learning can be applied in health care. The advent of interoperability and telehealth present the opportunity to apply machine learning to a wide variety of practices and services in health care. Machine learning models use large datasets to help providers diagnose and treat illness and potentially improve the prognosis for the patient. The increased use of machine learning in health care increases the need to protect patient information. Machine learning can be used to protect patient information. You will develop a PowerPoint presentation to establish how machine learning is applied to patient care and the protection of patient information.
Task
Prepare 10 to 15 slides PowerPoint presentation with detailed scholarly speaker notes in which you:
o Establish how concepts of machine learning are applied in health care. Support with examples.
o Differentiate how the three types of machine learning-supervised learning, unsupervised learning, and reinforcement learning-could be applied in health care. Support with examples.
o Determine three different situations where machine learning could be applied in health care.
o Propose how machine learning could be used to protect patient information in three identified situations.
o Propose how machine learning could be applied to improve health care delivery for both the patient and the provider in three identified situations.
Format your homework according to the following formatting requirements:
o The answer should be typed, using Times New Roman font (size 12), double spaced, with one-inch margins on all sides.
o The response also includes a cover page containing the title of the homework, the student's name, the course title, and the date. The cover page is not included in the required page length.
o Also include a reference page. The Citations and references must follow APA format. The reference page is not included in the required page length.