- Development and internal validation of a prediction model to identify ...🔍
- Development and internal validation of a prediction model for ...🔍
- Development and Internal Validation of a Prediction Model for Falls ...🔍
- Development and internal validation of a prediction model for the ...🔍
- Development and internal validation of prediction models for future ...🔍
- Investigating the impact of development and internal validation ...🔍
- Development and internal validation of a prediction model...🔍
- Development and internal validation of predictive models to assess ...🔍
Development and internal validation of a prediction model to identify ...
Development and internal validation of a prediction model to identify ...
The developed and internally validated prediction models may enable clinicians to identify older adults at high risk of low PA levels during ...
Development and internal validation of a prediction model to identify ...
This study aims to identify older adults at high risk of low physical activity (PA) levels during hospitalisation.
Development and internal validation of a prediction model for ...
Background: To develop and internally validate a prediction model for identifying patients with hematologic diseases of fall risk. Research design and ...
Development and Internal Validation of a Prediction Model for Falls ...
We internally validated our whole model development strategy using 10-fold stratified cross-validation. The models were evaluated using ...
Development and internal validation of a prediction model for the ...
In a recent systematic review of our research group, we identified four prediction models for assessing tinnitus presence. While the sample ...
Development and internal validation of a prediction model for ...
These variables were filtered via univariable logistic analysis, LASSO, and multivariable logistic analysis. We adopt an internal validation method of K-fold ...
Development and internal validation of prediction models for future ...
This could be the first step in developing automated alert systems in electronic health records for identifying patients with multimorbidity ...
Investigating the impact of development and internal validation ...
Objective The internal validation of prediction models aims to quantify the generalisability of a model. We aim to determine the impact, if any, that the ...
Development and internal validation of a prediction model for the ...
Methods: We developed a multivariable prediction model using elastic net logistic regression with data from the Dutch Lifelines Cohort Study. This is a ...
Development and internal validation of a prediction model... - PAIN
We used an internal–external validation approach for the logistic regression model, and the random forests, by repeatedly splitting the data set into a training ...
Development and internal validation of predictive models to assess ...
Univariate and multivariate logistic regression analyses informed development of a logistic regression-based predictive model using seven ...
Development and internal validation of machine learning–based ...
External validation refers to the evaluation of a prediction model's performance outside the original model development setting to determine its reproducibility ...
How to derive and internally validate a clinical prediction model ...
Backward variable selection is used within each bootstrapped sample to identify predictor variables, while those variables not selected have ...
Development and internal validation of risk prediction model of ...
The optimal model can be used to identify people at high risk of metabolic syndrome as early as possible, to predict their risk, and to persuade them to change ...
Evaluation of clinical prediction models (part 1): from development to ...
Using bootstrapping for internal validation · Develop the prediction model using the entire original data and calculate the apparent performance.
Development and Internal Validation of a Multivariable Prediction ...
... identifying 10 true positives when using the model on a population of 100 patients. As the models are intended to be used in a wide variety ...
Development and Internal Validation of a Risk Prediction Model for ...
We employed the Bootstrap-enhanced penalized logistic regression with the least absolute shrinkage and selection operator to develop the ...
Development and internal validation of a clinical prediction model ...
We used the original dataset with bootstrap resampling to assess the performance using the c‐statistic and calibration plot. Apparent performance was measured ...
Development and internal validation of a prediction tool to aid the ...
In a diagnostic setting, prediction models combine 2 or more risk factors to estimate the probability that a certain disease is currently ...
Development and validation of a predictive model for febrile seizures
Based on the coefficients obtained from the logistic regression model, which identified ... The predictive model, the internal validation set, and ...