Results 1 to 10 of about 18,414 (69)
Frontiers in Cardiovascular Medicine, 2023 Cardiovascular diseases and their associated disorder of heart failure (HF) are major causes of death globally, making it a priority for doctors to detect and predict their onset and medical consequences.
Pedro A. Moreno-Sánchez
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A Unified Framework on Generalizability of Clinical Prediction Models
Frontiers in Artificial Intelligence, 2022 To be useful, clinical prediction models (CPMs) must be generalizable to patients in new settings. Evaluating generalizability of CPMs helps identify spurious relationships in data, provides insights on when they fail, and thus, improves the ...
Bohua Wan +3 more
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Frontiers in Microbiology, 2022 BackgroundThe accurate prediction of the outcome of hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) is impeded by population heterogeneity.
Xia Yu +45 more
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Kidney Medicine, 2020 Rationale & Objective: The Kidney Failure Risk Equation (KFRE) is a simple widely validated prediction model using age, sex, estimated glomerular filtration rate, and urinary albumin-creatinine ratio to predict the risk for end-stage kidney disease ...
Chi D. Chu +4 more
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A Note on Calibration of Clinical Prediction Models with Copas Statistics
Journal of Biostatistics and Epidemiology, 2021 Background: Calibration of clinical prediction models often entails assessing goodness of fit with independent, non-identically distributed Bernoulli random variables. We here investigate two statistics studied by Copas in this setting.
james A. koziol
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Approaches for Dealing with Seasonality in Clinical Prediction Models for Infections
Applied Sciences, 2023 The quantitative effect of seasonality on the prevalence of infectious diseases has been widely studied in epidemiological models. However, its influence in clinical prediction models has not been analyzed in great depth.
Bernardo Cánovas-Segura +3 more
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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022 Background Clinical prediction models have been developed for hospitalization for heart failure in type 2 diabetes. However, a systematic evaluation of these models’ performance, applicability, and clinical impact is absent.
Amir Razaghizad +14 more
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How to Establish Clinical Prediction Models [PDF]
Endocrinology and Metabolism, 2016 A clinical prediction model can be applied to several challenging clinical scenarios: screening high-risk individuals for asymptomatic disease, predicting future events such as disease or death, and assisting medical decision-making and health education.
Yong-ho Lee, Heejung Bang, Dae Jung Kim
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Clinical Prediction Models for Valvular Heart Disease
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2019 Background While many clinical prediction models (CPMs) exist to guide valvular heart disease treatment decisions, the relative performance of these CPMs is largely unknown.
Benjamin S. Wessler +10 more
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A clinical model to predict the progression of knee osteoarthritis: data from Dryad
Journal of Orthopaedic Surgery and Research, 2023 Background Knee osteoarthritis (KOA) is a multifactorial, slow-progressing, non-inflammatory degenerative disease primarily affecting synovial joints. It is usually induced by advanced age and/or trauma and eventually leads to irreversible destruction of
Lianwei Shen, Shouwei Yue
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