Ben Van Calster

1. Calibration: the Achilles heel of predictive analytics
   2019/12/01 by On behalf of Topic Group ‘Evaluating diagnostic tests and prediction models’ of the STRATOS initiative, Ben Van Calster, David J. McLernon +3 · 1 voice · 36 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Sepsis Diagnosis and Treatment
2. TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
   2024/04/16 by Professor Gary S. Collins, Karel G.M. Moons, Paula Dhiman +31 · 1 voice · 30 citations
   Medicine · Decision Sciences · Health Professions · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #Healthcare cost, quality, practices
3. A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
   2019/02/11 by Evangelia Christodoulou, Jie Ma, Professor Gary S. Collins +4 · 17 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare
4. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal
   2020/04/07 by Laure Wynants, Ben Van Calster, Professor Gary S. Collins +54 · 21 citations
   Medicine · #COVID-19 Clinical Research Studies #COVID-19 diagnosis using AI #SARS-CoV-2 detection and testing
5. Performance evaluation of predictive AI models to support medical decisions: Overview and guidance
   2024/12/13 by Ben Van Calster, Gary S. Collins, Van Calster, Ben +25 · 7 voices · 4 citations
   #cs.LG #stat.ME #stat.ML
6. The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
   2022/06/10 by Ruben van den Goorbergh, Maarten van Smeden, D. Timmerman +1 · 1 voice · 6 citations
   Computer Science · Medicine · #AI in cancer detection #Imbalanced Data Classification Techniques #Sepsis Diagnosis and Treatment
7. The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
   2022/02/18 by Ruben van den Goorbergh, Goorbergh, Ruben van den, Maarten van Smeden +6 · 1 voice · 4 citations
   Health Professions · Mathematics · #Medical Coding and Health Information #Statistical Methods in Clinical Trials
8. A comparison of hyperparameter tuning procedures for clinical prediction models: A simulation study
   2024/01/08 by Zoë S Dunias, Ben Van Calster, D. Timmerman +2 · 2 voices · 3 citations
   Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
9. There is no such thing as a validated prediction model
   2023/02/24 by Ben Van Calster, Ewout W. Steyerberg, Laure Wynants +1 · 1 voice · 4 citations
   Medicine · Computer Science · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Simulation-Based Education in Healthcare
10. The harms of class imbalance corrections for machine learning based prediction models: a simulation study
    2024/04/30 by Alex Carriero, Kim Luijken, Carriero, Alex +11 · 2 voices · 3 citations
    Business, Management and Accounting · Computer Science · #Financial Distress and Bankruptcy Prediction #Imbalanced Data Classification Techniques #stat.ME
11. Assessing the incremental value of diagnostic and prognostic markers: a review and illustration
    2011/05/31 by Ewout W. Steyerberg, Michael J. Pencina, Michael Pencina +4 · 2 citations
    Medicine · #Testicular diseases and treatments #Ovarian cancer diagnosis and treatment #Prostate Cancer Diagnosis and Treatment
12. Evaluation of performance measures in predictive artificial intelligence models to support medical decisions: overview and guidance
    2025/12/01 by Ben Van Calster, Professor Gary S. Collins, Andrew J. Vickers +11 · 2 voices · 5 citations
    Computer Science · Medicine · #AI in cancer detection #Artificial Intelligence in Healthcare and Education #Explainable Artificial Intelligence (XAI)
13. Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
    2023/01/19 by Alexander Pate, Richard D Riley, Gary S Collins +6 · 1 citation
    Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
14. A comparison of regression models for static and dynamic prediction of a prognostic outcome during admission in electronic health care records
    2024/05/03 by Shan Gao, Elena Albu, Gao, Shan +17 · 1 citation
    Computer Science · #Machine Learning in Healthcare
15. Critical Appraisal of Fairness Metrics in Clinical Predictive AI
    2025/06/20 by João Matos, Ben Van Calster, Matos, João +15 · 2 voices
    #cs.LG