Estimation of smooth ROC curves for biomarkers with limits of detection.
Sign Up to like & getrecommendations! Published in 2017 at "Statistics in medicine"
DOI: 10.1002/sim.7394
Abstract: Protein biomarkers found in plasma are commonly used for cancer screening and early detection. Measurements obtained by such markers are often based on different assays that may not support detection of accurate measurements due to… read more here.
Keywords: roc curve; detection; roc; smooth roc ... See more keywords
Determining Novel Urinary Biomarkers for Acute Kidney Injury and Prediction of Clinical Outcomes After Pediatric Cardiac Surgery
Sign Up to like & getrecommendations! Published in 2020 at "Pediatric Cardiology"
DOI: 10.1007/s00246-020-02349-4
Abstract: We read with interest the recent article by Yoneyama et al. [1] determining two novel urinary biomarkers for acute kidney injury (AKI) and prediction of clinical outcomes following pediatric cardiac surgery. However, we noted two… read more here.
Keywords: roc curve; analysis; postoperative adverse; cardiac surgery ... See more keywords
ROC and AUC with a Binary Predictor: a Potentially Misleading Metric
Sign Up to like & getrecommendations! Published in 2020 at "Journal of classification"
DOI: 10.1007/s00357-019-09345-1
Abstract: In analysis of binary outcomes, the receiver operator characteristic (ROC) curve is heavily used to show the performance of a model or algorithm. The ROC curve is informative about the performance over a series of… read more here.
Keywords: roc auc; curve; roc; predictor ... See more keywords
Receiver Operating Characteristic (ROC) Analysis of Image Search-and-Localize Tasks.
Sign Up to like & getrecommendations! Published in 2020 at "Academic radiology"
DOI: 10.1016/j.acra.2019.12.020
Abstract: RATIONALE AND OBJECTIVES Receiver operating characteristic (ROC) analysis for the common image search-and-localize task, in which readers search an image for lesion or lesions not knowing a priori any exists, has been studied for over… read more here.
Keywords: roc curve; image; roc; lroc curve ... See more keywords
Discovery of lipid biomarkers between bovine colostrum and milk using UHPLC-Q-TOF-MS lipidomics
Sign Up to like & getrecommendations! Published in 2021 at "International Dairy Journal"
DOI: 10.1016/j.idairyj.2021.105091
Abstract: ABSTRACT Sixty-three significantly different lipids from bovine colostrum (BC) and bovine milk (BM) were quantified using ultra-high-performance liquid chromatography-Q exactive orbitrap-mass spectrometry lipidomics and selected based criteria that included area under curve (AUC) value of… read more here.
Keywords: milk; roc curve; lipid biomarkers; bovine colostrum ... See more keywords
Evaluation of a few discrete clinical markers may predict categorization of actively symptomatic non-acute schizophrenia patients as treatment resistant or responders: A study by ROC curve analysis and multivariate analyses
Sign Up to like & getrecommendations! Published in 2018 at "Psychiatry Research"
DOI: 10.1016/j.psychres.2018.08.109
Abstract: Here, we used Receiver Operating Characteristic (ROC) curve analysis to determine whether clinical factors may aid predicting the categorization of schizophrenia patients as Treatment Resistant (TRS) or antipsychotic responsive schizophrenia (ARS). Patients with an established… read more here.
Keywords: roc curve; patients treatment; analysis; schizophrenia patients ... See more keywords
Identification of risk factors in epidemiologic study based on ROC curve and network
Sign Up to like & getrecommendations! Published in 2017 at "Scientific Reports"
DOI: 10.1038/srep46655
Abstract: This article proposes a new non-parametric approach for identification of risk factors and their correlations in epidemiologic study, in which investigation data may have high variations because of individual differences or correlated risk factors. First,… read more here.
Keywords: identification risk; roc curve; risk; risk factors ... See more keywords
ROC Curve Analysis of the Sensitivity and Specificity of Biochemical Detection of Intrahepatic Cholestasis during Pregnancy.
Sign Up to like & getrecommendations! Published in 2020 at "Zeitschrift fur Geburtshilfe und Neonatologie"
DOI: 10.1055/a-1299-2298
Abstract: INTRODUCTION Intrahepatic cholestasis of pregnancy (ICP) is associated with an increased risk of adverse pregnancy outcomes in mothers and infants. The aim was to evaluate the sensitivity and specificity of biochemical detection of ICP by… read more here.
Keywords: sensitivity; roc curve; pregnancy; sensitivity specificity ... See more keywords
On summary ROC curve for dichotomous diagnostic studies: an application to meta-analysis of COVID-19
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2022.2041565
Abstract: In a systematic review of a diagnostic performance, summarizing performance metrics is crucial. There are various summary models in the literature, and hence model selection becomes inevitable. However, most existing large-sample-based model selection approaches may… read more here.
Keywords: roc curve; meta analysis; diagnostic studies; summary roc ... See more keywords
Partial Youden index and its inferences
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2018.1535502
Abstract: ABSTRACT In medical diagnostic research, medical tests with continuous values are widely employed to distinguish between diseased and non-diseased subjects. The diagnostic accuracy of a medical test can be assessed by using the receiver operating… read more here.
Keywords: roc curve; index; partial youden; youden index ... See more keywords
P1511MODELO PREDICTIVO DE SUPERVIVENCIA DE INTELIGENCIA ARTIFICIAL (BOSQUE ALEATORIO) EN HEMODIALISIS. DATOS DEL REGISTRO ANDALUSINA DE ENFERMEDADES RENALES. SICATA
Sign Up to like & getrecommendations! Published in 2020 at "Nephrology Dialysis Transplantation"
DOI: 10.1093/ndt/gfaa142.p1511
Abstract: Random Forest (RF) is an analytical technique of Artificial Intelligence (AI) that consists of an assembly of trees built by bootstrapping (resampling with replacement). In each node a subset of predictor variables is selected and… read more here.
Keywords: roc curve; regression; auc roc; multivariate ... See more keywords