Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients. - Koen Welvaars; Michel P. J. van den Bekerom; Job N. Doornberg; Ernst P. van Haarst; J. A. van der Zee; G. A. van Andel; B. W. Lagerveld; M. C. Hovius; P. C. Kauer; L. M. S. Boevé (BMC Medical Informatics Decis. Mak., 2023)

Applying and validating a quality management system for in-house developed medical software. - Vera Lagerburg; Michelle van den Boorn; Reinier F. Crane; Koen Welvaars; Jaap M. Groen (Frontiers Digit. Health, 2025)

Applying text-mining to clinical notes: the identification of patient characteristics from electronic health records (EHRs). - Simone ten Hoope; Koen Welvaars; Kylian van Geijtenbeek; Mellanie Klok-Everaars; Sander van Schaik; Fatma Karapinar-Çarkit (BMC Medical Informatics Decis. Mak., 2025)

Predicting peripheral venous catheter related phlebitis using machine learning (PPML): development and prospective validation of PPML for cardiology inpatients. - Koen Welvaars; Femke Groenendaal; Michel P. J. van den Bekerom; Job N. Doornberg; Ernst P. van Haarst; Robert Riezebos (BMC Medical Informatics Decis. Mak., 2025)