Clinical Prediction Models
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Citations
Flexible Imputation of Missing Data
Risk prediction models: II. External validation, model updating, and impact assessment
A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models
External validation of a Cox prognostic model: principles and methods
Calibration: the Achilles heel of predictive analytics
References
One-year mortality of colorectal cancer patients: development and validation of a prediction model using linked national electronic data.
Prognostication of Patients with Spinal Bone Metastases (SBM): External Validation Study Comparing the Utility of Two Current Prediction Models
External validation of biomarkers of fatty liver in the general population: the Bagnacavallo study
Correction to: Multiple Score Comparison: a network meta-analysis approach to comparison and external validation of prognostic scores
Risk factors and prognostic models for preterm birth
Related Papers (5)
Frequently Asked Questions (7)
Q2. What is the purpose of a prediction model?
Clinical prediction models aim to predict an outcome of interest, for example, survival in high-grade glioma (HGG) patients or intraventricular hemorrhage in preterm infants, by combining two or more patient-related variables.
Q3. What are the main features of the prediction models?
The obtained predictions of these models can then be used for medical and shared decision-making such as initiating surgical treatment, and for example for guidance in planning future lifestyle.
Q4. What is the main point of the article?
As a result of overfitting, prediction models tend to have a too optimistic predictive performance in terms of discrimination and calibration [2].
Q5. What is the author's opinion on the article?
This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
Q6. What is the important aspect of clinical prediction models?
with the rise of so many prediction models, the authors should be able to make firm conclusions which model to use on their patients.
Q7. What is the author's intent for the article?
If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.