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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
21 - 30 of 279
- Transparent reporting of multivariable prediction models developed or validated using clustered data: TRIPOD-Cluster checklist(2023)
Authors: Ben Van Calster
- Minimal reporting improvement after peer review in reports of COVID-19 prediction models: systematic review(2023)
Authors: Ben Van Calster, Laure Wynants
Pages: 75 - 84 - External Validation of the Ovarian-Adnexal Reporting and Data System (O-RADS) Lexicon and the International Ovarian Tumor Analysis 2-Step Strategy to Stratify Ovarian Tumors Into O-RADS Risk Groups(2023)
Authors: Stefan Timmerman, Jolien Ceusters, Ben Van Calster, Wouter Froyman
Pages: 225 - 233 - Benign descriptors and ADNEX in two-step strategy to estimate risk of malignancy in ovarian tumors: retrospective validation in IOTA5 multicenter cohort(2023)
Authors: Tom Bourne, Wouter Froyman, Ben Van Calster, Jolien Ceusters, Laure Wynants, An Coosemans, Ignace Vergote, Dirk Timmerman
Pages: 231 - 242 - Assessing Performance and Clinical Usefulness in Prediction Models With Survival Outcomes: Practical Guidance for Cox Proportional Hazards Models(2023)
Authors: Ben Van Calster, Laure Wynants
Pages: 105 - + - Interpreting area under the receiver operating characteristic curve(2022)
Authors: Ben Van Calster
Pages: E853 - E855 - Lesions of the Ovary and Fallopian Tube(2022)
Authors: Stefan Timmerman, Ben Van Calster, Wouter Froyman
Pages: 1723 - 1724 - Risk assessment for endometrial cancer in women with abnormal vaginal bleeding: Results from the prospective IETA-1 cohort study(2022)
Authors: Jan Verbakel, Ruben Heremans, Laure Wynants, Bavo Campo, Tom Bourne, Ben Van Calster, Dirk Timmerman, Thierry Van den Bosch
Pages: 103 - 110 - A deep-learning-enabled diagnosis of ovarian cancer(2022)
Authors: Ben Van Calster, Stefan Timmerman, Axel Geysels, Jan Verbakel, Wouter Froyman
Pages: E630 - E630 - The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression(2022)
Authors: Dirk Timmerman, Ben Van Calster
Pages: 1525 - 1534
Patents
1 - 1 of 1
- Methods for diagnosing ovarian cancer (Inventor)