Machine Learning for Health focuses on applying AI techniques in healthcare, such as deep learning, ontologies, reasoning, natural language processing, image processing, and prediction models in healthcare.
ML for Health
ML for Health
Machine Learning for Health focuses on applying AI techniques in healthcare, such as deep learning, ontologies, reasoning, natural language processing, image processing, and prediction models in healthcare.
3 researchers
5 labs
Researchers
Ivana Išgum
ELLIS Faculty
Clarisa Sánchez
ELLIS Faculty
Iris Groen
ELLIS Faculty
Ecosystem
AIM Lab
AI for Oncology Lab
qurAI
POP-AART Lab
VIS Lab
Browse other research themes
Table Representation Learning
Socially Intelligent Artificial Systems (SIAS)
Natural Language Processing
Focuses on the interpretation and generation of language
ML Foundations
Involves an in-depth understanding of ML
Information Retrieval
Connects people to information effectively
Computer Vision
Uses AI to analyze and interpret videos and images
