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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
31 - 40 of 73
- Demystifying AI in healthcare Well conducted and transparently reported trials would be an excellent start(2020)
Authors: Laure Wynants, Ben Van Calster
- Ultrasound-based risk model for preoperative prediction of lymph-node metastases in women with endometrial cancer: model-development study(2020)
Authors: Tom Bourne, Ben Van Calster, Dirk Timmerman, Jan Verbakel, Thierry Van den Bosch, Laure Wynants
Pages: 443 - 452 - Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: multicentre cohort study(2020)
Authors: Ben Van Calster, Wouter Froyman, Jolien Ceusters, Laure Wynants, An Coosemans, Ignace Vergote, Tom Bourne, Dirk Timmerman
- Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal(2020)
Authors: Laure Wynants, Ben Van Calster, Maarten De Vos, Liesbet Henckaerts, Jan Verbakel
Pages: 1 - 16 - Posttraumatic stress, anxiety and depression following miscarriage and ectopic pregnancy: a multicenter, prospective, cohort study(2020)
Authors: Ben Van Calster, Laure Wynants, Dirk Timmerman, Tom Bourne
- Developing risk models for multicenter data using standard logistic regression produced suboptimal predictions: A simulation study(2020)
Authors: Ben Van Calster, Dirk Timmerman, Laure Wynants
Pages: 932 - 944 - Changing predictor measurement procedures affected the performance of prediction models in clinical examples(2020)
Authors: Laure Wynants, Ben Van Calster
Pages: 7 - 18 - Validation of ultrasound strategies to assess tumor extension and to predict high-risk endometrial cancer in women from the prospective IETA (International Endometrial Tumor Analysis)-4 cohort(2020)
Authors: Jan Verbakel, Laure Wynants
Pages: 115 - 124 - Calibration: the Achilles heel of predictive analytics(2019)
Authors: Ben Van Calster, Laure Wynants
- Validation of ultrasound strategies to assess tumor extension and to predict high-risk endometrial cancer in women from the prospective IETA (International Endometrial Tumor Analysis)-4 cohort(2019)
Authors: Jan Verbakel, Laure Wynants, Dirk Timmerman, Thierry Van den Bosch
Pages: 115 - 124