For permission to use (where not already granted under a licence) please go to. Clinical prediction models estimate the risk of existing disease or future outcome for an individual, which is conditional on the values of multiple predictors such as age, sex, and biomarkers. In this article, Bonnett and colleagues provide a guide to presenting clinical prediction models so that they can be implemented in practice, if appropriate. They describe how to create four presentation formats and discuss the advantages and disadvantages of each format. A key message is the need for stakeholder engagement to determine the best presentation option in relation to the clinical context of use and the intended users
BACKGROUND: Prediction models are developed to aid healthcare providers in estimating the probabilit...
Massive numbers of new prediction models have been published over the past two decades and the numbe...
Objective Risk prediction models can assist clinicians in making decisions. To boost the uptake of t...
For permission to use (where not already granted under a licence) please go to. Clinical prediction ...
Clinical prediction models play an increasingly important role in contemporary clinical care, by inf...
IMPORTANCE Prognostication is an important aspect of clinical decision-making, but it is often chall...
textabstractClinical prediction models provide risk estimates for the presence of disease (diagnosis...
Clinical predictionmodels provide risk estimates for the presenceof disease (diagnosis) or an event ...
A clinical prediction model can be applied to several challenging clinical scenarios: screening high...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
This is the first chapter of five that cover an introduction to developing and validating models for...
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations...
Introduction It is known that only a limited proportion of developed clinical prediction models (CPM...
International audienceBACKGROUND:Clinical prediction models are formal combinations of historical, p...
BACKGROUND: Prediction models are developed to aid healthcare providers in estimating the probabilit...
Massive numbers of new prediction models have been published over the past two decades and the numbe...
Objective Risk prediction models can assist clinicians in making decisions. To boost the uptake of t...
For permission to use (where not already granted under a licence) please go to. Clinical prediction ...
Clinical prediction models play an increasingly important role in contemporary clinical care, by inf...
IMPORTANCE Prognostication is an important aspect of clinical decision-making, but it is often chall...
textabstractClinical prediction models provide risk estimates for the presence of disease (diagnosis...
Clinical predictionmodels provide risk estimates for the presenceof disease (diagnosis) or an event ...
A clinical prediction model can be applied to several challenging clinical scenarios: screening high...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
Prediction models aim to use available data to predict a health state or outcome that has not yet be...
This is the first chapter of five that cover an introduction to developing and validating models for...
Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations...
Introduction It is known that only a limited proportion of developed clinical prediction models (CPM...
International audienceBACKGROUND:Clinical prediction models are formal combinations of historical, p...
BACKGROUND: Prediction models are developed to aid healthcare providers in estimating the probabilit...
Massive numbers of new prediction models have been published over the past two decades and the numbe...
Objective Risk prediction models can assist clinicians in making decisions. To boost the uptake of t...