Mattijs E. Numans

According to our database, Mattijs E. Numans authored at least 13 papers between 2013 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

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

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

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

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

Using recurrent neural networks to predict colorectal cancer among patients.

Ryan Amirkhan, Mark Hoogendoorn, Mattijs E. Numans, Leon M. G. Moons

Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

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

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

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

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

Proceedings of the 23rd European Conference on Information Systems, 2015

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

Proceedings of the Artificial Intelligence in Medicine, 2015

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

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

Proceedings of the 22st European Conference on Information Systems, 2014

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

Proceedings of the Brain Informatics and Health - International Conference, 2014

2013

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