Overview
\nIn this assignment 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.<\/p>\n
Instructions
\nPrepare a 10\u201315-slide PowerPoint presentation with detailed scholarly speaker notes in which you:<\/p>\n
Establish how concepts of machine learning are applied in health care. Support with examples.
\nDifferentiate how the three types of machine learning\u2014supervised learning, unsupervised learning, and reinforcement learning\u2014could be applied in health care. Support with examples.
\nDetermine three different situations where machine learning could be applied in health care.
\nPropose how machine learning could be used to protect patient information in three identified situations.
\nPropose how machine learning could be applied to improve health care delivery for both the patient and the provider in three identified situations.
\nUse at least three sources to support your writing. Choose sources that are credible, relevant, and appropriate. Cite each source listed on your source page at least one time within your assignment. For help with research, writing, and citation, access the library or review library guides.<\/p>\n
Propose how contemporary HIMS technologies and concepts can be applied to improve health care delivery through health care information.
\nResources
\nTop 4 Machine Learning Use Cases for Healthcare Providers.
\nThe HIPAA Privacy Rule.
\nNew Machine Learning Approach Supports Patient Data Privacy.<\/p>\n","protected":false},"excerpt":{"rendered":"
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