Researcher
Laure Wynants
- 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
- Human-Computer Interaction (HCI) (Division)
Member
From1 Aug 2020 → 31 Jan 2018 - Dynamical Systems, Signal Processing and Data Analytics (STADIUS) (Division)
Member
From1 Aug 2020 → 31 Dec 2016 - Computer Science Technology, Group T Leuven Campus (Technology cluster)
Member
From1 Oct 2017 → 31 Jan 2018 - Woman and Child (Division)
Member
From1 Jan 2017 → Today - Centre for Sociological Research (Research unit)
Member
From13 Oct 2008 → 5 Jul 2009
Projects
1 - 6 of 6
- 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
- Antibiotics for acutely ill children and the impact of COVID-19 on prescribing in ambulatory careFrom16 Aug 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- 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
- Personalized diagnostics for endometrial cancer to optimize local decision-making and patient triage.From1 Oct 2018 → 30 Sep 2021Funding: FWO fellowships
- Clinical risk prediction models based on multicenter data: methods for model development and validationFrom3 Oct 2011 → 31 Dec 2016Funding: IWT personal funding - strategic basic research grants
Publications
41 - 50 of 73
- Predictive analytics in health care: how can we know it works?(2019)
Authors: Ben Van Calster, Laure Wynants, Dirk Timmerman
Pages: 1651 - 1654 - Three myths about risk thresholds for prediction models(2019)
Authors: Laure Wynants, Dirk Timmerman, Ben Van Calster
- Machine Learning in Medicine(2019)
Authors: Ben Van Calster, Laure Wynants
Pages: 2588 - 2588 - Risk of complications in patients with conservatively managed ovarian tumours (IOTA5): a 2-year interim analysis of a multicentre, prospective, cohort study(2019)
Authors: Wouter Froyman, Chiara Landolfo, Bavo Campo, Laure Wynants, An Coosemans, Ignace Vergote, Jan Verbakel, Tom Bourne, Ben Van Calster, Dirk Timmerman
Pages: 448 - 458 - Untapped potential of multicenter studies: a review of cardiovascular risk prediction models revealed inappropriate analyses and wide variation in reporting(2019)
Authors: Laure Wynants, Dirk Timmerman
Pages: 6 - Reporting and Interpreting Decision Curve Analysis: A Guide for Investigators(2018)
Authors: Ben Van Calster, Laure Wynants, Jan Verbakel, Evangelia Christodoulou
Pages: 796 - 804 - Does ignoring clustering in multicenter data influence the performance of prediction models? A simulation study(2018)
Authors: Laure Wynants, Sabine Van Huffel, Dirk Timmerman, Ben Van Calster
Pages: 1723 - 1736 - Random-effects meta-analysis of the clinical utility of tests and prediction models(2018)
Authors: Laure Wynants, Dirk Timmerman, Ben Van Calster
Pages: 2034 - 2052 - Doctors' perception of support and the processes involved in complaints investigations and how these relate to welfare and defensive practice: a cross-sectional survey of the UK physicians(2017)
Authors: Tom Bourne, Bavo Campo, Laure Wynants, Chantal Van Audenhove, Dirk Timmerman, Ben Van Calster
- Prospective validation of IOTA methods in the differentiation between benign and malignant adnexal masses(2017)
Authors: Wouter Froyman, Chiara Landolfo, Bavo Campo, Laure Wynants, Antonia C Testa, E Domali, Povilas Sladkevicius, Luca Savelli, Dorella Franchi, Elisabeth Epstein, et al.
Pages: 22