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Researcher
Ben Van Calster
- Disciplines:Laboratory medicine, Palliative care and end-of-life care, Regenerative medicine, Other basic sciences, Other health sciences, Nursing, Other paramedical sciences, Other translational sciences, Other medical and health sciences
Affiliations
- Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 31 Mar 2013 - Woman and Child (Division)
Member
From1 Apr 2013 → Today - Social and Cultural Psychology (Research group)
Member
From23 Mar 2001 → 30 Jun 2003
Projects
1 - 10 of 16
- Safely ruling out ACS in patients with chest pain presenting to ambulatory careFrom19 May 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom22 Sep 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- The ADNEX risk model for ovarian cancer diagnosis: improving performance across different hospitals and examinersFrom1 Jan 2022 → TodayFunding: FWO research project (including WEAVE projects)
- Dynamic risk prediction to reduce central line-associated bloodstream infections using electronic health recordsFrom1 Apr 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- PhD position on dynamic risk prediction of bloodstream infections using EHR dataFrom16 Feb 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Augmenting Clinical Decision-Making with Machine LearningFrom30 Oct 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Dynamic risk prediction to reduce central line-associated bloodstream infectionsFrom1 Oct 2020 → TodayFunding: BOF - projects
- Personalized diagnostics for endometrial cancer to optimize local decision-making and patient triage.From1 Oct 2018 → 30 Sep 2021Funding: FWO fellowships
- Searching for new leads in the diagnosis of ovarian cancerFrom1 Oct 2017 → 30 Sep 2021Funding: Foundations, funds and other with scientific goal
- Methods for developing and validating clinical risk prediction models with applicationsFrom9 Jan 2017 → 27 Jan 2021Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
41 - 50 of 279
- Evaluating cut-off levels for progesterone, β human chorionic gonadotropin and β human chorionic gonadotropin ratio to exclude pregnancy viability in women with a pregnancy of unknown location: A prospective multicenter cohort study(2022)
Authors: Dirk Timmerman, Ben Van Calster, Tom Bourne
Pages: 46 - 55 - Hypervolume under ROC manifold for discrete biomarkers with ties(2021)
Authors: Ben Van Calster
Pages: 3864 - 3879 - Randomized Trial of Fetal Surgery for Severe Left Diaphragmatic Hernia COMMENT(2021)
Authors: Jan Deprest, Ben Van Calster, Francesca Maria Russo
Pages: 724 - 725 - Re: "Diagnostic Accuracies of the Ultrasound and Magnetic Resonance Imaging ADNEX Scoring Systems for Ovarian Adnexal Mass: Systematic Review and Meta-Analysis"(2021)
Authors: Ben Van Calster, Tom Bourne, Wouter Froyman, Dirk Timmerman
Pages: 1643 - 1644 - Reporting of prognostic clinical prediction models based on machine learning methods in oncology needs to be improved(2021)
Authors: Ben Van Calster
Pages: 60 - 72 - Methodology over metrics: current scientific standards are a disservice to patients and society(2021)
Authors: Ben Van Calster, Laure Wynants
Pages: 219 - 226 - Methodological Issues in the Development of a Prediction Tool for First-Trimester Outcomes(2021)
Authors: Ben Van Calster
Pages: 1731 - 1732 - External Validations of Cardiovascular Clinical Prediction Models: A Large-Scale Review of the Literature(2021)
Authors: Ben Van Calster
- Randomized Trial of Fetal Surgery for Moderate Left Diaphragmatic Hernia(2021)
Authors: Jan Deprest, Ben Van Calster
Pages: 119 - 129 - Randomized Trial of Fetal Surgery for Severe Left Diaphragmatic Hernia(2021)
Authors: Jan Deprest, Ben Van Calster, Francesca Maria Russo
Pages: 107 - 118
Patents
1 - 1 of 1
- Methods for diagnosing ovarian cancer (Inventor)