Results 311 to 320 of about 11,478,693 (361)
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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?
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Abstract Several risk scores are currently in use to assess patients. Can we be sure these are adequate and appropriate?
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The Framingham cardiovascular risk score and 5‐year progression of multiple sclerosis
European Journal of Neurology, 2020Cardiovascular risk factors and comorbidities can affect the prognosis of multiple sclerosis (MS). The Framingham risk score is an algorithm that can estimate the 10‐year risk of developing macrovascular disease.
M. Petruzzo +10 more
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SSRN Electronic Journal, 2018
I propose a new systemic-risk score to identify and regulate systemically important financial institutions (SIFIs) by using an alternative weighting scheme based on volatility to aggregate all systemic-risk facets. Following a portfolio management approach, I equalize the risk contribution of each systemic-risk component to the cross-sectional ...
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I propose a new systemic-risk score to identify and regulate systemically important financial institutions (SIFIs) by using an alternative weighting scheme based on volatility to aggregate all systemic-risk facets. Following a portfolio management approach, I equalize the risk contribution of each systemic-risk component to the cross-sectional ...
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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 ...
Berk Ustun, Cynthia Rudin
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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 ...
Berk Ustun, Cynthia Rudin
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Coronary Calcium Risk Score and Cardiovascular Risk
Current Vascular Pharmacology, 2020The association between the presence of coronary artery calcium (CAC) and the risk of coronary artery disease (CAD) has been appreciated for decades. In this review, we critically appraise the role of CAC based on computerized tomography in contemporary risk stratification.
Angelica Lehker, Debabrata Mukherjee
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Radiology, 2019
Background Most risk prediction models for breast cancer are based on questionnaires and mammographic density assessments. By training a deep neural network, further information in the mammographic images can be considered.
Karin Dembrower +6 more
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Background Most risk prediction models for breast cancer are based on questionnaires and mammographic density assessments. By training a deep neural network, further information in the mammographic images can be considered.
Karin Dembrower +6 more
semanticscholar +1 more source
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 +3 more
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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
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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
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Comparing Cardiovascular Risk Prediction Scores
Annals of Internal Medicine, 2015In this issue, DeFilippis and colleagues examined several prominent risk prediction tools for cardiovascular disease in which they found cases of overestimation and underestimation.
Paul M, Ridker, Nancy R, Cook
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2020
Risikoscores werden zur Identifizierung von Hochrisikopersonen für Typ-2-Diabetes (T2DM) eingesetzt, die von Präventionsmaßnahmen profitieren. Der DIfE – DEUTSCHER DIABETES-RISIKO-TEST® (DRT [DIfE: Deutsches Institut für Ernährungsforschung Potsdam‐Rehbrücke]) wird genutzt, um das absolute 5‑Jahres-Risiko für T2DM zu bestimmen.
Schiborn, Catarina (Dr.) +1 more
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Risikoscores werden zur Identifizierung von Hochrisikopersonen für Typ-2-Diabetes (T2DM) eingesetzt, die von Präventionsmaßnahmen profitieren. Der DIfE – DEUTSCHER DIABETES-RISIKO-TEST® (DRT [DIfE: Deutsches Institut für Ernährungsforschung Potsdam‐Rehbrücke]) wird genutzt, um das absolute 5‑Jahres-Risiko für T2DM zu bestimmen.
Schiborn, Catarina (Dr.) +1 more
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