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Practical Considerations and Applied Examples of Cross-Validation for Model Development and Evaluation in Health Care: Tutorial
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1001/jama.2020.5035openalex-snapshot
Action-Informed Artificial Intelligence—Matching the Algorithm to the Problem
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-snapshot
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/s10994-018-5714-4openalex-snapshot
Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
inferredcites →https://doi.org/10.1016/j.compbiomed.2021.104324openalex-snapshot
Evaluation of machine learning algorithms for health and wellness applications: A tutorial
inferredcites →https://doi.org/10.1016/j.csda.2009.04.009openalex-snapshot
Estimating classification error rate: Repeated cross-validation, repeated hold-out and bootstrap
inferredcites →https://doi.org/10.1016/j.jclinepi.2012.06.020openalex-snapshot
A systematic review finds prediction models for chronic kidney disease were poorly reported and often developed using inappropriate methods
inferredcites →https://doi.org/10.1016/j.jclinepi.2015.04.005openalex-snapshot
Prediction models need appropriate internal, internal–external, and external validation
inferredcites →https://doi.org/10.1016/j.neuroimage.2016.10.038openalex-snapshot
Assessing and tuning brain decoders: Cross-validation, caveats, and guidelines
inferredcites →https://doi.org/10.1037/h0072400openalex-snapshot
The shrinkage of the coefficient of multiple correlation.
inferredcites →https://doi.org/10.1073/pnas.102102699openalex-snapshot
Selection bias in gene extraction on the basis of microarray gene-expression data
inferredcites →https://doi.org/10.1080/01621459.1983.10477973openalex-snapshot
Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
inferredcites →https://doi.org/10.1080/01621459.1997.10474007openalex-snapshot
Improvements on Cross-Validation: The .632+ Bootstrap Method
inferredcites →https://doi.org/10.1080/01621459.2023.2197686openalex-snapshot
Cross-Validation: What Does It Estimate and How Well Does It Do It?
inferredcites →https://doi.org/10.1093/aje/kwu140openalex-snapshot
Correcting for Optimistic Prediction in Small Data Sets
inferredcites →https://doi.org/10.1093/bioinformatics/bti499openalex-snapshot
Prediction error estimation: a comparison of resampling methods
inferredcites →https://doi.org/10.1093/eurheartj/ehu207openalex-snapshot
Towards better clinical prediction models: seven steps for development and an ABCD for validation
inferredcites →https://doi.org/10.1093/gigascience/gix019openalex-snapshot
The need to approximate the use-case in clinical machine learning
inferredcites →https://doi.org/10.1093/gigascience/gix020openalex-snapshot
Using and understanding cross-validation strategies. Perspectives on Saeb et al.
inferredcites →https://doi.org/10.1093/jamia/ocac078openalex-snapshot
A framework for the oversight and local deployment of safe and high-quality prediction models
inferredcites →https://doi.org/10.1097/ede.0b013e3181c30fb2openalex-snapshot
Assessing the Performance of Prediction Models
inferredcites →https://doi.org/10.1111/j.1751-5823.2009.00085_22.xopenalex-snapshot
Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating by Ewout W. Steyerberg
inferredcites →https://doi.org/10.1111/j.2517-6161.1974.tb00994.xopenalex-snapshot
Cross-Validatory Choice and Assessment of Statistical Predictions
inferredcites →https://doi.org/10.1136/heartjnl-2011-301246openalex-snapshot
Risk prediction models: I. Development, internal validation, and assessing the incremental value of a new (bio)marker
inferredcites →https://doi.org/10.1136/heartjnl-2011-301247openalex-snapshot
Risk prediction models: II. External validation, model updating, and impact assessment
inferredcites →https://doi.org/10.1137/1.9781611972788.54openalex-snapshot
On the Dangers of Cross-Validation. An Experimental Evaluation
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Heart Failure with Preserved and Reduced Ejection Fraction in Hemodialysis Patients: Prevalence, Disease Prediction and Prognosis
inferredcites →https://doi.org/10.1186/1471-2105-7-91openalex-snapshot
Bias in error estimation when using cross-validation for model selection
inferredcites →https://doi.org/10.1186/1758-2946-6-10openalex-snapshot
Cross-validation pitfalls when selecting and assessing regression and classification models
inferredcites →https://doi.org/10.1371/journal.pmed.1001221openalex-snapshot
Reporting and Methods in Clinical Prediction Research: A Systematic Review
inferredcites →https://doi.org/10.3389/fpubh.2022.912151openalex-snapshot
Current status and trends in researches based on public intensive care databases: A scientometric investigation
inferredcites →https://doi.org/10.4258/hir.2021.27.3.189openalex-snapshot
Impact of the Choice of Cross-Validation Techniques on the Results of Machine Learning-Based Diagnostic Applications
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Physics-Informed Mechanistic Learning for Pavement-Scale PCC Thermal Expansion Prediction Using PINNs Framework
inferred← citeshttps://doi.org/10.2139/ssrn.6945149openalex-snapshot
Explainable TabPFN-3-Guided Process Intensification of Microwave-Assisted Waste Cooking Oil Transesterification over a Magnetic Catalyst: Optimization and Kinetic Analysis
inferred← citeshttps://doi.org/10.2139/ssrn.7049460openalex-snapshot
Recall-oriented severe accident screening for coal mine gas accidents using human-factors coding and explainable machine learning
inferred← citeshttps://doi.org/10.2139/ssrn.7207439openalex-snapshot
Interpretable Machine Learning for Ionic Liquid-Mediated Delignification with Applicability Domain Validation
inferred← citeshttps://doi.org/10.2152/jmi.72.272openalex-snapshot
The Kihon Checklist is a useful screening tool for predicting sarcopenia:A retrospective cross-sectional pilot study
inferred← citeshttps://doi.org/10.2196/52508openalex-snapshot
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS)
inferred← citeshttps://doi.org/10.2196/77311openalex-snapshot
Fine-Tuning and Benchmarking Transformer Models for Multiclass Classification of Clinical Research Papers: Retrospective Modeling Study
inferred← citeshttps://doi.org/10.2196/86379openalex-snapshot
Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data
inferred← citeshttps://doi.org/10.2196/87728openalex-snapshot
Participant-Aware Model Validation for Repeated-Measures Data: Comparative Cross-Validation Study
inferred← citeshttps://doi.org/10.2196/preprints.52508openalex-snapshot
Consolidated Reporting Guidelines for Prognostic and Diagnostic Machine Learning Models (CREMLS) (Preprint)
inferred← citeshttps://doi.org/10.25559/sitito.021.202502.272-286openalex-snapshot
Минимизация ошибок нейросетевых моделей в библиотечно-издательской сфере: подходы и их эффективность
inferred← citeshttps://doi.org/10.3389/fbioe.2026.1740863openalex-snapshot
Noninvasive prescreening of pediatric adenoid hypertrophy using quantified MFCC statistics and clinical features: development and external validation
inferred← citeshttps://doi.org/10.3389/fbuil.2025.1731114openalex-snapshot
Interpretable machine learning for bridge-pier scour prediction and flood resilience
inferred← citeshttps://doi.org/10.3389/ffgc.2026.1894535openalex-snapshot
Accounting for terrain in neighborhood competition: fused UAV and backpack LiDAR for fine-scale volume estimation in Chinese fir (Cunninghamia lanceolata) plantations
inferred← citeshttps://doi.org/10.3389/fmed.2026.1878438openalex-snapshot
Skeleton-based rehabilitation movement quality classification: a leakage-controlled benchmark on IntelliRehabDS
inferred← citeshttps://doi.org/10.3389/fnagi.2026.1789012openalex-snapshot
Construction of a classification model for dementia among Brazilian adults aged 50 and over
inferred← citeshttps://doi.org/10.3389/fonc.2026.1733312openalex-snapshot
Research on real-time detection of radiotherapy setup errors and intelligent quality control methods based on artificial intelligence and big data
inferred← citeshttps://doi.org/10.3389/fpsyt.2026.1809332openalex-snapshot
Key factors and serial mediation analysis of anxiety and depression among university students: a cross-sectional study
inferred← citeshttps://doi.org/10.3389/frai.2025.1623384openalex-snapshot
Quantifying training response in cycling based on cardiovascular drift using machine learning
inferred← citeshttps://doi.org/10.3390/ai7060213openalex-snapshot
Non-Invasive Blood Glucose Estimation from Exhaled Breath: Patient-Level Validation of a Compact Electronic Nose Approach
inferred← citeshttps://doi.org/10.3390/app16010054openalex-snapshot
MAWC-Net: A Multi-Scale Attention Wavelet Convolutional Neural Network for Soil pH Prediction
inferred← citeshttps://doi.org/10.3390/app16062979openalex-snapshot
Facial Anonymization Model Evaluation Criteria: Development and Validation in Autonomous Vehicle Environments
inferred← citeshttps://doi.org/10.3390/app16073489openalex-snapshot
Prediction of Depression Risk on Social Media Using Natural Language Processing and Explainable Machine Learning
inferred← citeshttps://doi.org/10.3390/biomedicines13102573openalex-snapshot
Beyond Biomarkers: Blending Copeptin and Clinical Cues to Distinguish Central Diabetes Insipidus from Primary Polydipsia in Children
inferred← citeshttps://doi.org/10.3390/buildings16112082openalex-snapshot
A Generative AI Framework for Carbon-Oriented Biomimetic Façade Design in Architecture
inferred← citeshttps://doi.org/10.3390/diagnostics15222855openalex-snapshot
A Preliminary Mechanics-Informed Machine Learning Framework for Objective Assessment of Parkinson’s Disease and Rehabilitation Outcomes
inferred← citeshttps://doi.org/10.3390/diagnostics16101487openalex-snapshot
Integrating Clinical Factors and Parity-Specific Models with Molecular Biomarkers to Better Predict the Risk of Preterm Birth in Asymptomatic Women
inferred← citeshttps://doi.org/10.3390/diagnostics16101499openalex-snapshot
Exploratory PET/CT Radiomics for Predicting Early Progression in Locally Advanced Pancreatic Cancer
inferred← citeshttps://doi.org/10.3390/diagnostics16162557openalex-snapshot
Optimizing In-Hospital Mortality Prediction After Cardiac Surgery: A Machine Learning Approach Using Feature Engineering for Imbalanced Data
inferred← citeshttps://doi.org/10.3390/diagnostics16162585openalex-snapshot
Markerless Video-Based Gait Analysis for Motor Phenotyping in Individuals with Schizophrenia Using Interpretable Machine Learning
inferred← citeshttps://doi.org/10.3390/dj13110508openalex-snapshot
Statistical Method for Dental Clinics for Determining Presence and Stage of Periodontitis with aMMP-8 Mouth Rinse Point-of-Care Test and Digital Reader
inferred← citeshttps://doi.org/10.3390/electronics15102059openalex-snapshot
Boundary Conditions for AU-Based Detection of Understanding: A Literary Analysis Study
inferred← citeshttps://doi.org/10.3390/electronics15122700openalex-snapshot
Acoustic Correlates of Phases of Understanding in a Naturalistic Literary Task
inferred← citeshttps://doi.org/10.3390/encyclopedia6040075openalex-snapshot
Intelligent Eyes on Buildings: A Scientometric Mapping and Systematic Review of AI-Based Crack Detection and Predictive Diagnostics of Building Structures
inferred← citeshttps://doi.org/10.3390/healthcare14131881openalex-snapshot
Explainable Machine Learning for Predicting Dengue Recovery Duration: Insights from Multi-Center Clinical Data
inferred← citeshttps://doi.org/10.3390/ijms26157630openalex-snapshot
Exploring Adverse Event Associations of Predicted PXR Agonists Using the FAERS Database
inferred← citeshttps://doi.org/10.3390/informatics13060094openalex-snapshot
Consolidating Access to Candidate Data for Recruitment Headhunting: Leveraging Explainable Machine Learning
inferred← citeshttps://doi.org/10.3390/inventions11010011openalex-snapshot
Enhancement Without Contrast: Stability-Aware Multicenter Machine Learning for Glioma MRI Imaging
inferred← citeshttps://doi.org/10.3390/jcm15197469openalex-snapshot
The Course of Nasolabial Angle Loss After Rhinoplasty and Prediction of Late Outcome Using Machine Learning: A Proof-of-Concept Study
inferred← citeshttps://doi.org/10.3390/jimaging12020078openalex-snapshot
Age Prediction of Hematoma from Hyperspectral Images Using Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/jimaging12060251openalex-snapshot
3D Deep Learning for Brain Tumor Segmentation and Survival Prediction: A Comprehensive Multi-Modal Analysis Using the BraTS2020 Dataset
inferred← citeshttps://doi.org/10.3390/life15010094openalex-snapshot
Transforming Cardiovascular Risk Prediction: A Review of Machine Learning and Artificial Intelligence Innovations
inferred← citeshttps://doi.org/10.3390/math14061082openalex-snapshot
Improving Cross-Domain Generalization in Brain MRIs via Feature Space Stability Regularization
inferred← citeshttps://doi.org/10.3390/microplastics5030184openalex-snapshot
Geographic Patterns of Pancreatic Cancer Mortality and Dietary Microplastic Exposure in Italy: An Ecological Hypothesis-Generating Framework
inferred← citeshttps://doi.org/10.3390/pharmaceutics18050542openalex-snapshot
Global Trends in Integrating Machine Learning (ML) with Model-Informed Drug Development (MIDD): A Bibliometric and Systematic Review (2015–2025)
inferred← citeshttps://doi.org/10.3390/plants13223118openalex-snapshot
AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks
inferred← citeshttps://doi.org/10.3390/s26092713openalex-snapshot
A Robust Deep Learning Approach for COPD Automated Detection
inferred← citeshttps://doi.org/10.3390/su17219455openalex-snapshot
Machine Learning-Based Prediction of Root-Zone Temperature Using Bio-Based Phase-Change Material in Greenhouse
inferred← citeshttps://doi.org/10.3390/technologies14020115openalex-snapshot
Impact of Internal Validation Protocols on Predictive Maintenance Performance in Biomedical Equipment
inferred← citeshttps://doi.org/10.3390/v18091009openalex-snapshot
Tree-Based Classification of COVID-19 Using NanoString Whole-Blood Immune-Response Profiles: Comparison of Full-Dataset and LOOCV-Embedded Feature Selection
inferred← citeshttps://doi.org/10.3961/jpmph.25.350openalex-snapshot
Development of Machine Learning Models to Predict Health Insurance Claim Costs Among Older Indonesians: A Retrospective Predictive Modeling Study
inferred← citeshttps://doi.org/10.51885/3134-8025_jics_2026_3_4openalex-snapshot
SUBJECT-SPECIFIC OPTIMIZATION OF THE EEG SIGNAL PROCESSING PIPELINE FOR MULTICLASS MOTOR IMAGERY CLASSIFICATION
inferred← citeshttps://doi.org/10.5435/jaaos-d-25-01150openalex-snapshot
A Machine Learning Approach to Predicting Radiographic Outcomes of Nonsurgically Treated Distal Radius Fractures
inferred← citeshttps://doi.org/10.55213/kmujens.1817251openalex-snapshot
A Multi-Feature Extraction and Selection Framework for High-Accuracy Surface Defect Classification in Industrial Casting Parts
inferred← citeshttps://doi.org/10.55524/ijircst.2026.14.1.19openalex-snapshot
Machine Learning for Secure Cardiovascular Risk Assessment in Distributed Healthcare Environments
inferred← citeshttps://doi.org/10.5753/sbcas.2025.7270openalex-snapshot
Diagnóstico de Glaucoma em Retinografias de Oftalmoscópio Portátil Utilizando Ensemble Baseado em Transformers
inferred← citeshttps://doi.org/10.61453/jods.v20260208openalex-snapshot
Scalable AutoML Frameworks for End-to-End Optimization of Data Science Workflows
inferred← citeshttps://doi.org/10.64898/2026.06.29.26356785openalex-snapshot
A Local Outpatient Practice-Level Prediction Model for Short-Term Psychiatric Emergency Presentation
inferred← citeshttps://doi.org/10.64898/2026.09.18.26363439openalex-snapshot
Smartphone Passive Digital Phenotyping in Frontotemporal Lobar Degeneration
inferred← citeshttps://doi.org/10.7554/elife.108109openalex-snapshot
Multimodal MRI marker of cognition explains the association between cognition and mental health in the UK Biobank
inferred← citeshttps://doi.org/10.7554/elife.108109.1openalex-snapshot
Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank
inferred← citeshttps://doi.org/10.7554/elife.108109.2openalex-snapshot
Multimodal MRI Marker of Cognition Explains the Association Between Cognition and Mental Health in UK Biobank
inferred← citeshttps://doi.org/10.7554/elife.108109.3openalex-snapshot
Multimodal MRI marker of cognition explains the association between cognition and mental health in the UK Biobank
inferred← citeshttps://doi.org/10.7759/cureus.83368openalex-snapshot
Deep Learning-Based Automated Detection of Oral Leukoplakia in Clinical Imaging
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