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Clinical prediction rules
Clinical prediction rules
by Adams, Simon T , Leveson, Stephen H
in Accuracy / Artificial neural networks / Carts / Classification / Clinical decision making / Clinical medicine / Decision making / Decision Support Techniques / Decision trees / Diagnosis / Health outcomes / Humans / Impact analysis / Mathematical models / Medical practice / Modeling / Models, Statistical / Neural networks / Nomographs / Patient satisfaction / Predictive modeling / Probability / Prostate / Research Methods & Reporting / RESEARCH METHODS AND REPORTING / Sensitivity and Specificity / Statistical models / Validity
2012
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Clinical prediction rules
by Adams, Simon T , Leveson, Stephen H
in Accuracy / Artificial neural networks / Carts / Classification / Clinical decision making / Clinical medicine / Decision making / Decision Support Techniques / Decision trees / Diagnosis / Health outcomes / Humans / Impact analysis / Mathematical models / Medical practice / Modeling / Models, Statistical / Neural networks / Nomographs / Patient satisfaction / Predictive modeling / Probability / Prostate / Research Methods & Reporting / RESEARCH METHODS AND REPORTING / Sensitivity and Specificity / Statistical models / Validity
2012
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Clinical prediction rules
Clinical prediction rules
by Adams, Simon T , Leveson, Stephen H
in Accuracy / Artificial neural networks / Carts / Classification / Clinical decision making / Clinical medicine / Decision making / Decision Support Techniques / Decision trees / Diagnosis / Health outcomes / Humans / Impact analysis / Mathematical models / Medical practice / Modeling / Models, Statistical / Neural networks / Nomographs / Patient satisfaction / Predictive modeling / Probability / Prostate / Research Methods & Reporting / RESEARCH METHODS AND REPORTING / Sensitivity and Specificity / Statistical models / Validity
2012

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Mohammed Bin Rashid Library /
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Clinical prediction rules
Clinical prediction rules
Journal Article

Clinical prediction rules

Adams, Simon T,
Leveson, Stephen H
2012
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Overview
Clinical prediction rules are mathematical tools that are intended to guide clinicians in their everyday decision making. The popularity of such rules has increased greatly over the past few years. This article outlines the concepts underlying their development and the pros and cons of their use
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Publisher
British Medical Journal Publishing Group,BMJ Publishing Group,BMJ Publishing Group LTD
Subject

Accuracy

/ Artificial neural networks

/ Carts

/ Classification

/ Clinical decision making

/ Clinical medicine

/ Decision making

/ Decision Support Techniques

/ Decision trees

/ Diagnosis

/ Health outcomes

/ Humans

/ Impact analysis

/ Mathematical models

/ Medical practice

/ Modeling

/ Models, Statistical

/ Neural networks

/ Nomographs

/ Patient satisfaction

/ Predictive modeling

/ Probability

/ Prostate

/ Research Methods & Reporting

/ RESEARCH METHODS AND REPORTING

/ Sensitivity and Specificity

/ Statistical models

/ Validity

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