Results 311 to 320 of about 3,593,757 (358)
Some of the next articles are maybe not open access.
Current Protocols, 2021
AbstractAs genome‐wide association studies have continued to identify loci associated with complex traits, the implications of and necessity for proper use of these findings, including prediction of disease risk, have become apparent. Many complex diseases have numerous associated loci with detectable effects implicating risk for or protection from ...
Tyler G. Kinzy +2 more
openaire +3 more sources
AbstractAs genome‐wide association studies have continued to identify loci associated with complex traits, the implications of and necessity for proper use of these findings, including prediction of disease risk, have become apparent. Many complex diseases have numerous associated loci with detectable effects implicating risk for or protection from ...
Tyler G. Kinzy +2 more
openaire +3 more sources
Current Protocols in Human Genetics, 2016
AbstractThe generation of genome‐wide variation data has become commonplace. However, the potential for interpretation and application of these data for clinical assessment of outcomes of interest, and prediction of disease risk, is currently not fully realized.
Robert P. Igo, Jessica N. Cooke Bailey
openaire +3 more sources
AbstractThe generation of genome‐wide variation data has become commonplace. However, the potential for interpretation and application of these data for clinical assessment of outcomes of interest, and prediction of disease risk, is currently not fully realized.
Robert P. Igo, Jessica N. Cooke Bailey
openaire +3 more sources
Journal of Tissue Viability, 1994
Abstract Several risk scores are currently in use to assess patients. Can we be sure these are adequate and appropriate?
openaire +2 more sources
Abstract Several risk scores are currently in use to assess patients. Can we be sure these are adequate and appropriate?
openaire +2 more sources
Risk scoring in the assessment of cardiovascular risk
Current Opinion in Lipidology, 2006Cardiovascular risk scoring is incorporated in guidelines and recommended for targeting preventive treatment. Evidence is required on the most appropriate method, its accuracy in a given population, and its effectiveness in favourably influencing clinical behaviour and health outcomes.Recent risk scores address inaccuracies that arise when methods are ...
Beswick, A, Brindle, P
openaire +4 more sources
A risk score for pericarditis recurrence
European Journal of Clinical Investigation, 2021AbstractBackgroundCurrently, we remain uncertain about which patients are at increased risk for recurrent pericarditis. We developed a risk score for pericarditis recurrence in patients with acute pericarditis.Materials and methodsWe prospectively recruited 262 patients with a first episode of acute pericarditis.
Emilia Lazarou +10 more
openaire +3 more sources
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017
Risk scores are simple classification models that let users quickly assess risk by adding, subtracting, and multiplying a few small numbers. Such models are widely used in healthcare and criminal justice, but are often built ad hoc. In this paper, we present a principled approach to learn risk scores that are fully optimized for feature selection ...
Cynthia Rudin, Berk Ustun
openaire +2 more sources
Risk scores are simple classification models that let users quickly assess risk by adding, subtracting, and multiplying a few small numbers. Such models are widely used in healthcare and criminal justice, but are often built ad hoc. In this paper, we present a principled approach to learn risk scores that are fully optimized for feature selection ...
Cynthia Rudin, Berk Ustun
openaire +2 more sources
International Journal of System of Systems Engineering, 2019
In systems engineering, the risk matrix is a popular protocol for binning risks into a collection of probability and consequence cells. In its traditional form, the risk matrix produces a ranking of cells according to their position in an ordered list. From this, management can distinguish whether a set of risks collected in one risk matrix cell has a ...
openaire +2 more sources
In systems engineering, the risk matrix is a popular protocol for binning risks into a collection of probability and consequence cells. In its traditional form, the risk matrix produces a ranking of cells according to their position in an ordered list. From this, management can distinguish whether a set of risks collected in one risk matrix cell has a ...
openaire +2 more sources
Risk scoring and bloodstream infections
International Journal of Antimicrobial Agents, 2007Risk-scoring systems are utilised in patients with bloodstream infections (BSI) to quantify disease-associated morbidity and mortality based on simple clinical or laboratory data usually obtained early in the course of illness. In order to reduce BSI-associated mortality, specific scores were elaborated to allow early diagnosis and prompt and ...
Evelina Tacconelli +4 more
openaire +3 more sources
2016
The following chapter will discuss the history and clinical utility of several different composite risk models. Composite risk models are used to combine the various known risk factors and translate them into a more easily interpretable risk value. The Framingham Risk Algorithm is among the oldest and most widely used risk scores for cardiovascular ...
Ruth E. Brown, Jennifer L. Kuk
openaire +2 more sources
The following chapter will discuss the history and clinical utility of several different composite risk models. Composite risk models are used to combine the various known risk factors and translate them into a more easily interpretable risk value. The Framingham Risk Algorithm is among the oldest and most widely used risk scores for cardiovascular ...
Ruth E. Brown, Jennifer L. Kuk
openaire +2 more sources