Content of Learning Activity

Module content:
1. Database exploration phase: In this phase, students will learn to explore and understand medical databases. They will acquire skills in data preparation and cleaning, handling of missing values and anomaly detection. Students will also become familiar with data visualization tools to analyze trends, distributions, and relationships between variables.
2. Ideation Phase: In this step, students will think about how to analyze data using the AI algorithms learned in Module I. They will learn to define clear analysis goals and formulate relevant assumptions to guide their exploration of the data. They will also explore how to select the best-suited machine learning algorithms and techniques for specific problems and available data.
3. Modeling phase: In the modeling phase, students will apply the concepts and techniques learned to create machine learning models with medical databases. They will learn how to train, adjust and validate their models to optimize their performance. Students will also discover how to assess the quality and robustness of their models using appropriate metrics and cross-validation techniques.
4. Results Presentation Phase: Finally, students will learn how to present their AI analysis results in a scientific format. They will discover how to write clear and concise reports describing the methodology used, the results obtained and their interpretation. Students will also become familiar with creating graphs and visualizations to effectively illustrate their findings. This phase will also focus on critiquing the results, highlighting the limitations and potential biases of the models, and discussing the ethical and regulatory implications of their work.
 

Required Learning Resources/Tools

Not applicable
 

Recommended Learning Resources/Tools

Not applicable
 

Other Recommended Reading

Not applicable
 

Mode of delivery

• Hybrid

Type of Teaching Activity/Activities

• Cours magistraux

Evaluations

The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)