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Published in 2025 at "JAMA dermatology"
DOI: 10.1001/jamadermatol.2025.0318
Abstract: Importance The Melanoma Institute Australia (MIA) sentinel node (SN) metastasis risk calculator provides estimates of positivity for individual patients based on 6 standard clinicopathological parameters and the full 6-parameter model has been externally validated previously…
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Keywords:
sentinel node;
risk prediction;
risk;
melanoma ... See more keywords
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Published in 2020 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2020.21189
Abstract: This cohort study attempts to validate the Mental Health Research Network suicide risk–prediction model and estimate associated workloads.
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Keywords:
prediction model;
risk prediction;
risk;
suicide risk ... See more keywords
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Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2022.53148
Abstract: Key Points Question How can patients at high risk of developing esophageal squamous cell carcinoma be identified for follow-up after endoscopic screening? Findings The risk prediction model developed in this diagnostic study of 104 129…
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Keywords:
cell carcinoma;
squamous cell;
risk prediction;
risk ... See more keywords
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Published in 2022 at "Cancer Medicine"
DOI: 10.1002/cam4.4629
Abstract: To improve early detection and risk prediction of prostate cancer, we incorporated the urine urothelial carcinoembryonic antigen 1 (UCA1) gene expression levels and the serum PSA level.
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Keywords:
prostate cancer;
risk prediction;
urothelial carcinoembryonic;
carcinoembryonic antigen ... See more keywords
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Published in 2023 at "Cancer"
DOI: 10.1002/cncr.34703
Abstract: The optimal management of febrile stem cell transplant (SCT) patients presenting without severe neutropenia (absolute neutrophil count [ANC] ≥ 500/µL) is unclear. The authors have developed iterative risk prediction models (Esbenshade Vanderbilt [EsVan] models) that…
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Keywords:
risk prediction;
cell transplant;
stem cell;
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Published in 2024 at "Cancer"
DOI: 10.1002/cncr.35215
Abstract: The challenge of distinguishing indolent from aggressive prostate cancer (PCa) complicates decision‐making for men considering active surveillance (AS). Genomic classifiers (GCs) may improve risk stratification by predicting end points such as upgrading or upstaging (UG/US).…
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Keywords:
cancer;
risk prediction;
prostate cancer;
risk ... See more keywords
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Published in 2023 at "Diabetes/Metabolism Research and Reviews"
DOI: 10.1002/dmrr.3616
Abstract: To develop and validate a risk prediction model for Chinese patients with type 2 diabetes with the recurrence of diabetic foot ulcers (DFUs) based on a systematic review and meta‐analysis.
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Keywords:
review meta;
based systematic;
prediction model;
systematic review ... See more keywords
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Published in 2021 at "ESC Heart Failure"
DOI: 10.1002/ehf2.13224
Abstract: This study aimed to assess the utility of contemporary clinical risk scores and explore the ability of two biomarkers [growth differentiation factor‐15 (GDF‐15) and soluble ST2 (sST2)] to improve risk prediction in elderly patients with…
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Keywords:
risk;
risk prediction;
elderly patients;
cardiogenic shock ... See more keywords
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Published in 2022 at "ESC Heart Failure"
DOI: 10.1002/ehf2.14250
Abstract: Many risk prediction models have been proposed for heart failure (HF), but few studies have used only information available to general practitioners (GPs) in primary care electronic health records (EHRs). We describe the predictors and…
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Keywords:
risk prediction;
primary care;
heart failure;
heart ... See more keywords
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Published in 2024 at "Journal of Forecasting"
DOI: 10.1002/for.3074
Abstract: Credit risk prediction is a binary classification problem. Using two‐way decisions to classify defaulters may lead to decision errors due to insufficient information. To solve this issue, in addition to identifying borrowers as defaulters and…
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Keywords:
risk prediction;
risk;
credit risk;
way decisions ... See more keywords
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Published in 2017 at "Genetic Epidemiology"
DOI: 10.1002/gepi.22083
Abstract: Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous…
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Keywords:
polygenic risk;
risk prediction;
risk;
training data ... See more keywords