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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
31 - 40 of 279
- Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease(2022)
Authors: Ben Van Calster
Pages: 2921 - 2930 - Utility of pre-operative haemoglobin concentration to guide peri-operative blood tests for hip and knee arthroplasty: A decision curve analysis(2022)
Authors: Ben Van Calster
Pages: 306 - 317 - Risk of bias of prognostic models developed using machine learning: a systematic review in oncology.(2022)
Authors: Ben Van Calster
Pages: 13 - Validation of prediction models in the presence of competing risks: a guide through modern methods(2022)
Authors: Ben Van Calster
- Commentary: Artificial Intelligence and Statistics: Just the Old Wine in New Wineskins?(2022)
Authors: Ben Van Calster
- Nucleosome footprinting in plasma cell-free DNA for the pre-surgical diagnosis of ovarian cancer(2022)
Authors: Pieter Busschaert, Siel Olbrecht, An Coosemans, Wouter Froyman, Liselore Loverix, Els Van Nieuwenhuysen, Sileny Han, Toon Van Gorp, Tom Venken, Ruben Heremans, et al.
- Risk prediction models for discrete ordinal outcomes: Calibration and the impact of the proportional odds assumption(2022)
Authors: Ben Van Calster
Pages: 1334 - 1360 - Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review(2022)
Authors: Ben Van Calster
- Generalizability of Cardiovascular Disease Clinical Prediction Models: 158 Independent External Validations of 104 Unique Models(2022)
Authors: Ben Van Calster
Pages: 248 - 260 - The randomized Tracheal Occlusion To Accelerate Lung growth (TOTAL)-trials on fetal surgery for congenital diaphragmatic hernia: reanalysis using pooled data(2022)
Authors: Ben Van Calster, Francesca Maria Russo, Jan Deprest
Patents
1 - 1 of 1
- Methods for diagnosing ovarian cancer (Inventor)