Banca de QUALIFICAÇÃO: ERIKA YAHATA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : ERIKA YAHATA
DATE: 27/04/2023
TIME: 16:00
LOCAL: Remoto - https://meet.google.com/uhx-ryji-azo
TITLE:

EXPLAINABLE ARTIFICIAL INTELLIGENCE APPLIED TO PREDICTING HEALTH OUTCOMES

PAGES: 65
BIG AREA: Engenharias
AREA: Engenharia Biomédica
SUBÁREA: Engenharia Médica
SUMMARY:

Techniques based on Artificial Intelligence show promise in decision support in the health area, in which several studies show computational efficiency in processing large amounts of data and its effectiveness in contributing to decisions based on the information obtained. However, the lack of understanding of the models' predictive mechanisms has led to the search for new techniques based on Explainable Artificial Intelligence that allow elucidating questions about how predictions are made.In this context, this work sought to develop a method based on Explainable Artificial Intelligence demonstrating the relationship between input data and the predictive response. In the preliminary results, two methods of explainability were considered (Local Interpretable Model-agnostic Explanation and Shapley Additive Explanations) in a breast tumor classification model, and it was concluded that the model's explainability indicated relevant characteristics in the classification of the type of tumor.

COMMITTEE MEMBERS:
Presidente - Interno ao Programa - 2390463 - PRISCYLA WALESKA TARGINO DE AZEVEDO SIMOES
Membro Titular - Examinador(a) Interno ao Programa - 2334927 - ANDRE KAZUO TAKAHATA
Membro Titular - Examinador(a) Externo à Instituição - MARIA MARLENE DE SOUZA PIRES - UFSC
Membro Suplente - Examinador(a) Interno ao Programa - 1544392 - ALINE DE OLIVEIRA NEVES PANAZIO