Artificial Intelligence (AI) and Machine Learning (ML) in Public Health

This course offers a holistic viewpoint on the importance of AI and ML applications in public health. Students will be introduced to the concepts of AI and ML in public health and health promotion and will have the opportunity to review and apply training-data to a “learning algorithm”. This course will also provide an overview of health promotion program planning process throughout the life cycle. Fundamental areas of health promotion such as nutrition, physical fitness, and weight control are covered in depth. Health promotion nursing strategies and interventions are highlighted as appropriate in the care of individuals, communities, and groups.

1. Define what is meant by AI in general levels of prevention and give examples of each.
2. Discusses AI and machine learning (ML) algorithms in dealing with challenges that are primarily related to public health including open public/community health issues and common AI solutions with multiple case studies.
3. Evaluate AI and ML algorithms in dealing with possible consequences and societal impacts.
4. Discuss AI and ML techniques that have the potential to improve public health and wellness services such as analyzing the pathology and accelerating decision-making procedure in various contexts.