General practitioners' attitudes towards decision-supported prescribing: An analysis of the Dutch primary care sector. - Michiel Meulendijk; Marco R. Spruit; Clara Drenth-van Maanen; Mattijs E. Numans; Sjaak Brinkkemper; Paul Jansen (Health Informatics J., 2013)

Utilizing Data Mining for Predictive Modeling of Colorectal Cancer Using Electronic Medical Records. - Mark Hoogendoorn; Leon M. G. Moons; Mattijs E. Numans; Robert-Jan Sips (Brain Informatics and Health, 2014)

What Concerns Users of Medical Apps? Exploring Non-Functional Requirements of Medical Mobile Applications. - Michiel Meulendijk; Edwin Meulendijks; Paul Jansen; Mattijs E. Numans; Marco R. Spruit (ECIS, 2014)

Formalization and computation of quality measures based on electronic medical records. - Kathrin Dentler; Mattijs E. Numans; Annette ten Teije; Ronald Cornet; Nicolette de Keizer (J. Am. Medical Informatics Assoc., 2014)

On the Advantage of Using Dedicated Data Mining Techniques to Predict Colorectal Cancer. - Reinier Kop; Mark Hoogendoorn; Leon M. G. Moons; Mattijs E. Numans; Annette ten Teije (AIME, 2015)

STRIPA: A Rule-Based Decision Support System for Medication Reviews in Primary Care. - Michiel C. Meulendijk; Marco R. Spruit; Paul A. F. Jansen; Mattijs E. Numans; Sjaak Brinkkemper (ECIS, 2015)

Utilizing uncoded consultation notes from electronic medical records for predictive modeling of colorectal cancer. - Mark Hoogendoorn; Peter Szolovits; Leon M. G. Moons; Mattijs E. Numans (Artif. Intell. Medicine, 2016)

Predictive modeling of colorectal cancer using a dedicated pre-processing pipeline on routine electronic medical records. - Reinier Kop; Mark Hoogendoorn; Annette ten Teije; Frederike L. Büchner; Pauline Slottje; Leon M. G. Moons; Mattijs E. Numans (Comput. Biol. Medicine, 2016)

Efficiency of Clinical Decision Support Systems Improves with Experience. - Michiel C. Meulendijk; Marco R. Spruit; Floor Willeboordse; Mattijs E. Numans; Sjaak Brinkkemper; Wilma Knol; Paul A. F. Jansen; Marjan Askari (J. Medical Syst., 2016)

Using recurrent neural networks to predict colorectal cancer among patients. - Ryan Amirkhan; Mark Hoogendoorn; Mattijs E. Numans; Leon M. G. Moons (SSCI, 2017)

Reusability of coded data in the primary care electronic medical record: A dynamic cohort study concerning cancer diagnoses. - Annet Sollie; Rolf Sijmons; Charles W. Helsper; Mattijs E. Numans (Int. J. Medical Informatics, 2017)

Quantitative and temporal approach to utilising electronic medical records from general practices in mental health prediction. - Olga Pólchlopek; Nynke R. Koning; Frederike L. Büchner; Mathilde R. Crone; Mattijs E. Numans; Mark Hoogendoorn (Comput. Biol. Medicine, 2020)

Developing clinical prediction models using primary care electronic health record data - the impact of methodological choices on model performance. - Hendrikus J. A. van Os; Jos P. Kanning; Marieke J. H. Wermer; Niels H. Chavannes; Mattijs E. Numans; Ynte M. Ruigrok; Erik W. van Zwet; Ewout W. Steyerberg; Hein Putter; Rolf H. H. Groenwold (AMIA, 2021)