Frank C Bennis

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Machine Learning

Electronic Health Record

Top Venues

Clinical pharmacology and therapeutics

Journal of medical Internet research

Journal of intensive care medicine

This page only lists publications with an associated author ORCID identifier.

Publications

Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke Francisca Maria Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers
The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review. Journal of medical Internet research 26 (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics (2024)
Alexander Janssen, Louk Smalbil, Frank C Bennis, Marjon H Cnossen, Ron A A Mathot, null null
A Generative and Causal Pharmacokinetic Model for Factor VIII in Hemophilia A: A Machine Learning Framework for Continuous Model Refinement. Clinical pharmacology and therapeutics 115 (4) (2024)
Laura Swinckels, Frank C Bennis, Kirsten A Ziesemer, Janneke Francisca Maria Scheerman, Harmen Bijwaard, Ander de Keijzer, Josef Jan Bruers
The Use of Deep Learning and Machine Learning on Longitudinal Electronic Health Records for the Early Detection and Prevention of Diseases: Scoping Review. Journal of medical Internet research 26 (2024)
Willeke M Kitselaar, Frederike Leonie Büchner, Rosalie van der Vaart, Stephen P Sutch, Frank C Bennis, Andrea W M Evers, Mattijs Everard Numans
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices. BMJ open 13 (5) (2023)
Sander Siepel, Tariq A Dam, Lucas M Fleuren, Armand R J Girbes, Mark Hoogendoorn, Patrick J Thoral, Paul W G Elbers, Frank C Bennis, null null
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis. Journal of intensive care medicine (2023)
Willeke M Kitselaar, Frederike Leonie Büchner, Rosalie van der Vaart, Stephen P Sutch, Frank C Bennis, Andrea W M Evers, Mattijs Everard Numans
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices. BMJ open 13 (5) (2023)
Willeke M Kitselaar, Frederike Leonie Büchner, Rosalie van der Vaart, Stephen P Sutch, Frank C Bennis, Andrea W M Evers, Mattijs Everard Numans
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices. BMJ open 13 (5) (2023)
Sander Siepel, Tariq A Dam, Lucas M Fleuren, Armand R J Girbes, Mark Hoogendoorn, Patrick J Thoral, Paul W G Elbers, Frank C Bennis, null null
Evolution of Clinical Phenotypes of COVID-19 Patients During Intensive Care Treatment: An Unsupervised Machine Learning Analysis. Journal of intensive care medicine (2023)
Willeke M Kitselaar, Frederike Leonie Büchner, Rosalie van der Vaart, Stephen P Sutch, Frank C Bennis, Andrea W M Evers, Mattijs Everard Numans
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices. BMJ open 13 (5) (2023)
Willeke M Kitselaar, Frederike Leonie Büchner, Rosalie van der Vaart, Stephen P Sutch, Frank C Bennis, Andrea W M Evers, Mattijs Everard Numans
Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices. BMJ open 13 (5) (2023)
Frank C Bennis, Mark Hoogendoorn, Claire Aussems, Joke C Korevaar
Prediction of heart failure 1 year before diagnosis in general practitioner patients using machine learning algorithms: a retrospective case-control study. BMJ open 12 (8) (2022)
Serge J H Heines, Bas C T van Bussel, Melanie J Acampo-de Jong, Frank C Bennis, Rob J J van Gassel, Rald V M Groven, Nanon F L Heijnen, Ben J M Hermans, René Hounjet, Johan van Koll, Mark M G Mulder, Marcel C G van de Poll, Frank van Rosmalen, Ruud Segers, Sander Steyns, Ulrich Strauch, Jeanette Tas, Iwan C C van der Horst, Justin G L M Luermans, Dennis C J J Bergmans
Pulmonary pathophysiology development of COVID-19 assessed by serial Electrical Impedance Tomography in the MaastrICCht cohort. Scientific reports 12 (1) (2022)
Alexander Janssen, Frank C Bennis, Ron A A Mathôt
Adoption of Machine Learning in Pharmacometrics: An Overview of Recent Implementations and Their Considerations. Pharmaceutics 14 (9) (2022)
Frank C Bennis, Bibi Teeuwen, Frederick A Zeiler, Jan Willem Elting, Joukje van der Naalt, Pietro Bonizzi, Tammo Delhaas, Marcel J Aries
Improving Prediction of Favourable Outcome After 6 Months in Patients with Severe Traumatic Brain Injury Using Physiological Cerebral Parameters in a Multivariable Logistic Regression Model. Neurocritical care 33 (2) (2021)
Frank C Bennis, Peter Andriessen, Carola van Pul, Boris W Kramer, Tammo Delhaas
Ratio of arterial blood pressures at borders of window surrounding systolic peak indicates patent ductus arteriosus in preterm infants. Physiological measurement 42 (1) (2021)
Jeanette Tas, Rob J J van Gassel, Serge J H Heines, Mark M G Mulder, Nanon F L Heijnen, Melanie J Acampo-de Jong, Julia L M Bels, Frank C Bennis, Marcel Koelmann, Rald V M Groven, Moniek A Donkers, Frank van Rosmalen, Ben J M Hermans, Steven Jr Meex, Alma Mingels, Otto Bekers, Paul Savelkoul, Astrid M L Oude Lashof, Joachim Wildberger, Fabian H Tijssen, Wolfgang Buhre, Jan-Willem E M Sels, Chahinda Ghossein-Doha, Rob G H Driessen, Pieter L Kubben, Marcus L F Janssen, Gerry A F Nicolaes, Ulrich Strauch, Zafer Geyik, Thijs S R Delnoij, Kim H M Walraven, Coen DA Stehouwer, Jeanine A M C F Verbunt, Walther N K A van Mook, Susanne van Santen, Ronny M Schnabel, Marcel J H Aries, Marcel C G van de Poll, Dennis Bergmans, Iwan C C van der Horst, Justin G L M Luermans, Bas C T van Bussel
Serial measurements in COVID-19-induced acute respiratory disease to unravel heterogeneity of the disease course: design of the Maastricht Intensive Care COVID cohort (MaastrICCht). BMJ open 10 (9) (2020)
Frank C Bennis, Carola van Pul, Jarno J L van den Bogaart, Peter Andriessen, Boris W Kramer, Tammo Delhaas
Artifacts in pulse transit time measurements using standard patient monitoring equipment. PloS one 14 (6) (2019)