Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival

by Arturo Moncada-Torres, Marissa C. van Maaren, Mathijs P. Hendriks, Sabine Siesling, Gijs Geleijnse
Published 2021-03-01

Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands

by Cornelia D. van Steenbeek, Marissa C. van Maaren, Sabine Siesling, Annemieke Witteveen, Xander A. A. M. Verbeek, Hendrik Koffijberg
Published 2019-06-01

A conditional model predicting the 10-year annual extra mortality risk compared to the general population: a large population-based study in Dutch breast cancer patients.

by Marissa C van Maaren, Robert F Kneepkens, Joke Verbaan, Peter C Huijgens, Valery E P P Lemmens, Rob H A Verhoeven, Sabine Siesling
Published 2019-01-01

Trends in incidence, treatment, survival and subsequent breast cancer in lobular carcinoma in situ in the Netherlands: A population-based analysis

by Marissa C. van Maaren, Agustín Ortega Ávila, Jeannette G. van Manen, Marian BE. Menke-Pluijmers, Jeroen Veltman, Joost Bart, Pieter J. Westenend, Sabine Siesling
Published 2021-10-01

Heart failure medication after a first hospital admission and risk of heart failure readmission, focus on beta-blockers and renin-angiotensin-aldosterone system medication: A retro...

by Willemien J Kruik-Kollöffel, Job van der Palen, Carine J M Doggen, Marissa C van Maaren, H Joost Kruik, Edith M Heintjes, Kris L L Movig, Gerard C M Linssen
Published 2020-01-01