Maarten van Smeden
- 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
- Calculating the sample size required for developing a clinical prediction model
2020/03/18 by Richard D Riley, Joie Ensor, Kym I E Snell +6 · 23 citations
Decision Sciences · Mathematics · Medicine · #Meta-analysis and systematic reviews #Sepsis Diagnosis and Treatment #Statistical Methods in Epidemiology
- 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
- 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
- Sample size for binary logistic prediction models: Beyond events per variable criteria
2018/07/03 by Maarten van Smeden, Karel GM Moons, Karel G. M. Moons +10 · 14 citations
Computer Science · Decision Sciences · Mathematics · #Machine Learning in Healthcare #Reliability and Agreement in Measurement #Statistical Methods in Epidemiology
- 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
- The harm of class imbalance corrections for risk prediction models: illustration and simulation using logistic regression
2022/02/18 by Ruben van den Goorbergh, Maarten van Smeden, Goorbergh, Ruben van den +6 · 1 voice · 4 citations
Health Professions · Mathematics · #Medical Coding and Health Information #Statistical Methods in Clinical Trials
- 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
- 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
- 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
- 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)
- Machine Learning and Statistics in Clinical Research Articles—Moving Past the False Dichotomy
2023/03/20 by Samuel G. Finlayson, Andrew L. Beam, Maarten van Smeden · 1 voice · 3 citations
Medicine · Decision Sciences · Computer Science · #Artificial Intelligence in Healthcare and Education #Meta-analysis and systematic reviews #Machine Learning in Healthcare
- Five critical quality criteria for artificial intelligence-based prediction models
2023/10/28 by Florien S van Royen, Folkert W. Asselbergs, Fernándo Alfonso +2 · 1 voice · 2 citations
Medicine · Computer Science · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
- Minimum sample size for developing a multivariable prediction model using multinomial logistic regression
2023/01/19 by Alexander Pate, Richard D Riley, Professor Gary S. Collins +6 · 1 citation
Mathematics · #Statistical Methods and Bayesian Inference #Statistical Methods and Inference #Statistical Methods in Clinical Trials
- Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
2025/02/13 by Richard D Riley, Professor Gary S. Collins, Laura Kirton +17 · 1 voice · 2 citations
Medicine · Computer Science · Decision Sciences · #Sepsis Diagnosis and Treatment #Machine Learning in Healthcare #Meta-analysis and systematic reviews
- Explainable AI in Healthcare: to Explain, to Predict, or to Describe?
2025/08/07 by Alex Carriero, Anne de Hond, Carriero, Alex +14 · 3 voices · 1 citation
Medicine · #Artificial Intelligence in Healthcare and Education #stat.ME
- Availability of Evidence for Predictive Machine Learning Algorithms in Primary Care
2024/09/12 by Margot Rakers, Marieke van Buchem, Sergej Kucenko +8 · 1 voice · 1 citation
Medicine · Computer Science · Health Professions · #Artificial Intelligence in Healthcare and Education #Machine Learning in Healthcare #Electronic Health Records Systems