Concepts of machine learning
10-15-slide PowerPoint presentation with detailed scholarly speaker notes in which you
Establish how concepts of machine learning are applied in health care. Support with examples.
Differentiate how the three types of machine learning—supervised learning, unsupervised learning, and reinforcement learning—could be applied in health care. Support with examples.
Determine three different situations where machine learning could be applied in health care.
Propose how machine learning could be used to protect patient information in three identified situations.
Propose how machine learning could be applied to improve health care delivery for both the patient and the provider in three identified situations.
Sample Solution
Machine learning in health care is an evolving field that is more accessible than people may realize. Machine learning is a tool used in health care to help medical professionals care for patients and manage clinical data. It is an application of artificial intelligence, which involves programming computers to mimic how people think and learn. In health care, you can apply this to collect and manage patient data, identify health care trends, recommend treatments, and more. Hospital and health care companies have begun to recognize the ability of machine learning to improve decision-making and reduce risk in the medical field, which has led to several new and exciting career opportunities.
