Health Management

Year
2

Academic year
2023-2024

Code
02051743

Subject Area
Geroscience and Health Management

Language of Instruction
Portuguese

Mode of Delivery
Face-to-face

Duration
SEMESTRIAL

ECTS Credits
3.0

Type
Elective

Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

Teaching Methods

Face-to-face research lectures; journal club with small group discussion in virtual rooms and final discussion in classroom.

Learning Outcomes

Capability to assess health risks by means of data analysis. Provide students with R software code to implement risk models on real data, by means of specific use cases.

Work Placement(s)

Syllabus

Financial risks; Credit risks; Cyber risks; Model risks: accuracy, explainability, fairness, robustness.

Assessment Methods

Assessment
Oral presentations: 50.0%
Exam: 50.0%

Bibliography

Giudici, P., Raffinetti (2020) Lorenz model selection. Journal of Classification.
Giudici, P., Raffinetti, E. (2021) Shapley-Lorenz explainable AI models. Expert systems with applications.
Trabalhos publicados recentemente em revistas científicas de revisão por pares, relacionados com os temas discutidos.