FHE4330 ¨C Introduction to Machine Learning and Artificial Intelligence in Public Health

Course content

This course offers a practical introduction to machine learning (ML) and artificial intelligence (AI) within the context of public health epidemiology. Building upon students' existing knowledge in statistics and epidemiology, the course focuses on hands-on training using Stata to implement ML techniques such as classification, regularization, and ensemble methods. Additionally, it provides an overview of AI concepts, including natural language processing and ethical considerations. Through lectures and seminars, students will gain the skills necessary to apply ML and AI methods to real-world public health data.

Learning outcome

Knowledge

Upon completion of the course, students should be able to:

• Understand fundamental concepts of machine learning and artificial intelligence relevant to public health.

• Recognize various ML algorithms, including supervised and unsupervised learning techniques.

• Comprehend the ethical implications and challenges associated with applying ML and AI in healthcare settings

Skills

Upon completion of the course, students should be able to:

• Preprocess and manage public health datasets for ML analysis using Stata.

• Implement basic ML models, such as decision trees and regularized regression, in Stata.

• Evaluate and interpret the performance of ML models using appropriate metrics.

General Competencies

Upon completion of the course, students should be able to:

• Apply ML and AI techniques to address public health research questions.

• Critically assess the suitability and limitations of ML and AI methods in epidemiological studies.

• Communicate findings from ML analyses effectively to both technical and non-technical audiences.

Admission to the course

The course is available for students who are admitted to study programmes at UiO. You must each semester?register which courses and exams they wish to sign up for?in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about?admission requirements and procedures.

Language of examination

The examination questions are given in English. You may submit your response in Norwegian, Swedish, Danish or English.

More about examinations at UiO

• Use of sources and citations
• How to use AI as a student
• Special exam arrangements due to individual needs
• Withdrawal from an exam
• Illness at exams / postponed exams
• Explanation of grades and appeals
• Resitting an exam
• Cheating/attempted cheating

You will find further guides and resources at the web page on examinations at UiO.