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  1. Vitalis 2023
  2. Programpunkter
  3. Challenges of estimating global feature importance in real-world health care data
Profilbild för Challenges of estimating global feature importance in real-world health care data

Challenges of estimating global feature importance in real-world health care data Har passerat

Tisdag 23 maj 2023 11:15 - 11:30 G1

Föreläsare: Aniek Markus

Spår: MIE: Bioinformatics

Språk

English

Seminarietyp

Enbart på plats

Kunskapsnivå

Avancerad

Konferens

MIE

Författare

Aniek Markus, Egill A. Fridgeirsson, Jan A, Kors, Katia Verhamme, Peter R. Rijnbeek

DOI

https://dx.doi.org/10.3233/SHTI230346

Föreläsare

Profilbild för Aniek Markus

Aniek Markus Föreläsare

PhD Candidate
Erasmus MC

- Researcher with a focus on explainable AI and methods research to support the trustworthy implementation of AI in practice.
- Currently pursuing her PhD in the Health Data Science group at the Erasmus University Medical Center (NL); investigating how different types of explanations can help to overcome the transparency problem of AI in health care.
- Previously she obtained a double bachelor’s degree in Econometrics/Economics and a master’s degree in Econometrics and Management Science from Erasmus University Rotterdam.