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Onderzoeker
Kenneth Verstraete
- Disciplines:Datamining, Machine learning en besluitvorming, Gezondheidsinformatica
Affiliaties
- Respiratoire Aandoeningen en Thoraxheelkunde (BREATHE) (Afdeling)
Lid
Vanaf1 mrt 2019 → Heden
Projecten
1 - 1 of 1
- Toepassingen van Machinaal Leren in de Pneumologie: Hulpmiddelen voor Klinische BesluitvormingVanaf1 mrt 2019 → 25 jan 2024Financiering: Eigen Middelen zoals patrimonium, inschrijvingsgelden, giften, ....
Publicaties
1 - 7 van 7
- Applications of Machine Learning in Pulmonology: Tools for Clinical Decision Making(2024)
Auteurs: Kenneth Verstraete, Wim Janssens, Maarten De Vos
- Estimating individual treatment effects on COPD exacerbations by causal machine learning on randomised controlled trials(2023)
Auteurs: Kenneth Verstraete, Iwein Gyselinck, Helene Huts, Maarten De Vos, Wim Janssens
Pagina's: 983 - 989 - Machine learning to differentiate pulmonary hypertension due to left heart disease from pulmonary arterial hypertension(2023)
Auteurs: Kenneth Verstraete, Laura Hardy, Maarten De Vos, Rozenn Quarck, Catharina Belge, Wim Janssens, Marion Delcroix
- Principal component analysis of flow-volume curves in COPDGene to link spirometry with phenotypes of COPD(2023)
Auteurs: Kenneth Verstraete, Iwein Gyselinck, Thierry Troosters, Maarten De Vos, Wim Janssens
- Deep-learning algorithm helps to standardise ATS/ERS spirometric acceptability and usability criteria(2020)
Auteurs: Neel Das, Kenneth Verstraete, Jean-Marie Aerts, Wim Janssens
- Analyzing Soccer Players' Skill Ratings Over Time Using Tensor-Based Methods(2020)
Auteurs: Kenneth Verstraete, Tom Decroos, Nick Vannieuwenhoven, Jesse Davis
Pagina's: 225 - 234 - Estimating Airway Resistance from Forced Expiration in Spirometry(2019)
Auteurs: Neel Das, Kenneth Verstraete, Marko Topalovic, Jean-Marie Aerts, Wim Janssens