Oktatási központ
Munkahely
Témavezető
Évfolyam:
2022/23
Kutatási terület:
Immuno és Covid-19
Ország:
Magyarország
PhD szakterület:
statisztika
TOPIC
Public health – AI–driven clinical prediction and stratification.
VISION
Make AI an everyday tool in healthcare.
MISSION
Develop AI models for disease severity classification problems.
PROJECT TITLE 1
A comparison of COVID–19 disease severity prediction methods: meta–regression analysis.
PROJECT TITLE 2
Early prediction of aortic valve calcium score using artificial intelligence in patients with aortic stenosis.
Publications
- Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis - IF: 3.800, Quality: D1, Journal: Sci Rep