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Gijs Geleijnse

Showing results (1-10 of 22) with videos related to

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Pharmacoepidemiology and Drug Safety|September 10, 2024
A Two-Step Framework for Validating Causal Effect EstimatesLingjie Shen, Erik Visser, Felice van Erning, et al.
Journal of Clinical Epidemiology|February 6, 2025
Income inequality and access to advanced immunotherapy for lung cancer: the case of Durvalumab in the NetherlandsDimitris Katsimpokis, Mieke J Aarts, Gijs Geleijnse, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchangeArturo Moncada-Torres, Frank Martin, Melle Sieswerda, et al.
Studies in Health Technology and Informatics|July 1, 2022
An Improved Infrastructure for Privacy-Preserving Analysis of Patient DataDjura Smits, Bart Van Beusekom, Frank Martin, et al.
Scientific Reports|March 27, 2021
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survivalArturo Moncada-Torres, Marissa C van Maaren, Mathijs P Hendriks, et al.
Studies in Health Technology and Informatics|June 24, 2020
Machine Learning Explainability in Breast Cancer SurvivalTom Jansen, Gijs Geleijnse, Marissa Van Maaren, et al.
JCO Clinical Cancer Informatics|May 16, 2024
Value of Real-World Evidence for Treatment Selection: A Case Study in Colon CancerLingjie Shen, Anja van Gestel, Peter Prinsen, et al.
Studies in Health Technology and Informatics|May 17, 2025
Automating Performance Status Annotation in Oncology Using Llama-3Irene Cara, Nynke van 't Hof, Sebastiaan Siegerink, et al.
JMIR Cancer|October 25, 2021
Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod StudyRuben D Vromans, Mies C van Eenbergen, Gijs Geleijnse, et al.
JCO Clinical Cancer Informatics|January 3, 2023
Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational DataMelle Sieswerda, Shixuan Xie, Ruby van Rossum, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Pharmacoepidemiology and Drug Safety|September 10, 2024
A Two-Step Framework for Validating Causal Effect EstimatesLingjie Shen, Erik Visser, Felice van Erning, et al.
Journal of Clinical Epidemiology|February 6, 2025
Income inequality and access to advanced immunotherapy for lung cancer: the case of Durvalumab in the NetherlandsDimitris Katsimpokis, Mieke J Aarts, Gijs Geleijnse, et al.
AMIA ... Annual Symposium Proceedings. AMIA Symposium|May 3, 2021
VANTAGE6: an open source priVAcy preserviNg federaTed leArninG infrastructurE for Secure Insight eXchangeArturo Moncada-Torres, Frank Martin, Melle Sieswerda, et al.
Studies in Health Technology and Informatics|July 1, 2022
An Improved Infrastructure for Privacy-Preserving Analysis of Patient DataDjura Smits, Bart Van Beusekom, Frank Martin, et al.
Scientific Reports|March 27, 2021
Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survivalArturo Moncada-Torres, Marissa C van Maaren, Mathijs P Hendriks, et al.
Studies in Health Technology and Informatics|June 24, 2020
Machine Learning Explainability in Breast Cancer SurvivalTom Jansen, Gijs Geleijnse, Marissa Van Maaren, et al.
JCO Clinical Cancer Informatics|May 16, 2024
Value of Real-World Evidence for Treatment Selection: A Case Study in Colon CancerLingjie Shen, Anja van Gestel, Peter Prinsen, et al.
Studies in Health Technology and Informatics|May 17, 2025
Automating Performance Status Annotation in Oncology Using Llama-3Irene Cara, Nynke van 't Hof, Sebastiaan Siegerink, et al.
JMIR Cancer|October 25, 2021
Exploring Cancer Survivor Needs and Preferences for Communicating Personalized Cancer Statistics From Registry Data: Qualitative Multimethod StudyRuben D Vromans, Mies C van Eenbergen, Gijs Geleijnse, et al.
JCO Clinical Cancer Informatics|January 3, 2023
Identifying Confounders Using Bayesian Networks and Estimating Treatment Effect in Prostate Cancer With Observational DataMelle Sieswerda, Shixuan Xie, Ruby van Rossum, et al.
Pageof 3