Intended for healthcare professionals

  1. Research
  2. Evaluation of clinical...
  3. Evaluation of clinical prediction models (part 1): from development to external validation
CCBY Open access
Research Methods & Reporting

Evaluation of clinical prediction models (part 1): from development to external validation

BMJ 2024; 384 doi: https://doi.org/10.1136/bmj-2023-074819 (Published 08 January 2024) Cite this as: BMJ 2024;384:e074819

Data supplement

Related articles

See more

Cited by...

  • Machine Learning Model to Guide Empirical Antimicrobial Therapy in Febrile Neutropenic Patients With Hematologic Malignancies
  • Lung cancer risk assessment by prediction model: a global perspective
  • Evaluation of Machine Learning Models for Early Prediction of Gestational Diabetes Using Retrospective Electronic Health Records from Current and Previous Pregnancies
  • Machine learning for the prediction of spontaneous preterm birth using early second and third trimester maternal blood gene expression: A Cautionary Tale
  • Feasibility of Machine Learning Analysis for the Identification of Patients with Possible Primary Ciliary Dyskinesia
  • Artificial Intelligence (AI) Models for Cardiovascular Disease Risk Prediction in Primary and Ambulatory Care: A Scoping Review
  • PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
  • Is Multimodal Better? A Systematic Review of Multimodal versus Unimodal Machine Learning in Clinical Decision-Making
  • RESiLIENT (Resilience Enhancement with Smartphone in LIving ENvironmenTs) Trial: The Statistical Analysis Plan for 1-year follow-up data
  • Effect of an unsupervised multidomain intervention integrating education, exercises, psychological techniques and machine learning feedback, on injury risk reduction in athletics (track and field): protocol of a randomised controlled trial (I-ReductAI)
  • Uncertainty of risk estimates from clinical prediction models: rationale, challenges, and approaches
  • Development and validation of a clinical prediction tool to estimate survival in community-dwelling adults living with dementia: a protocol
  • EASIX-guided risk stratification for complications and outcome after CAR T-cell therapy with ide-cel in relapsed/refractory multiple myeloma
  • Developing clinical prediction models: a step-by-step guide
  • Development and validation of a novel clinical risk score to predict hypoxemia in children with pneumonia using the WHO PREPARE dataset
  • Predicting diagnostic progression to schizophrenia or bipolar disorder via machine learning applied to electronic health record data
  • Machine-Learning based Prediction Models for Healthcare Outcomes in Patients Participating in Cardiac Rehabilitation: A Systematic Review
  • TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods
  • The impact of competing risks in kidney allograft failure prediction
Back to top