AIMC Topic: ROC Curve

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B-Type Natriuretic Peptide as a Predictor of Short-Term Mortality in On-Pump Coronary Artery Bypass Grafting.

Brazilian journal of cardiovascular surgery Jan 1, 2017
OBJECTIVE: The present study refers to a determination of the preoperative B-type natriuretic peptide is a predictor of short-term all-cause mortality in patients undergoing on-pump coronary artery bypass graft surgeries.
Brazil Aged Humans ROC Curve Coronary Artery Bypass Survival Rate Extracorporeal Circulation Prospective Studies Sensitivity and Specificity Natriuretic Peptide, Brain Biomarkers Male Preoperative Period Female Middle Aged Risk Factors
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Prediction of pathologic femoral fractures in patients with lung cancer using machine learning algorithms: Comparison of computed tomography-based radiological features with clinical features versus without clinical features.

Journal of orthopaedic surgery (Hong Kong) Jan 1, 2017
PURPOSE: The purpose of this article is to compare the predictive power of two models trained with computed tomography (CT)-based radiological features and both CT-based radiological and clinical features for pathologic femoral fractures in patients ...
Humans Machine Learning Algorithms Tomography, X-Ray Computed Female ROC Curve Lung Neoplasms Logistic Models Odds Ratio Fractures, Spontaneous Femoral Fractures Risk Factors Aged Adult Male Middle Aged
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Breast osteoblastoma and recurrence after resection: Demonstration by color Doppler ultrasound.

Journal of X-ray science and technology Jan 1, 2017
Osteoblastoma is a rare benign primary bone tumor, which occurs in any part of the skeleton. Extraskeletal osteoblastoma is rather rare. We presented an extremely rare case of extraskeletal osteoblastoma located in the breast. The tumor recurred 7 mo...
Humans Neural Networks, Computer Machine Learning Female Breast Neoplasms Learning Curve Osteoblastoma ROC Curve Breast Image Interpretation, Computer-Assisted Recurrence Ultrasonography, Doppler, Color
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Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study.

Journal of Alzheimer's disease : JAD Jan 1, 2017
BACKGROUND AND OBJECTIVE: This study aimed to develop a late-life dementia prediction model using a novel validated supervised machine learning method, the Disease State Index (DSI), in the Finnish population-based CAIDE study.
Cerebrovascular Disorders Neuropsychological Tests Finland Apolipoproteins E Community Health Planning Reproducibility of Results Risk Factors Dementia Humans Aged ROC Curve Retrospective Studies Male Cognition Female Severity of Illness Index Predictive Value of Tests Supervised Machine Learning
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Cell Free DNA and Procalcitonin as Early Markers of Complications in ICU Patients with Multiple Trauma and Major Surgery.

Clinical laboratory Dec 1, 2016
BACKGROUND: Cell free DNA (cfDNA) was recently suggested as a new marker of sepsis and poor outcome in ICU patients. Procalcitonin has also been the focus of attention as an early marker for systemic inflammation and sepsis.
Humans Biomarkers Prognosis Area Under Curve Intensive Care Units DNA ROC Curve Female Injury Severity Score Early Diagnosis Cell-Free Nucleic Acids Reproducibility of Results Surgical Procedures, Operative Organ Dysfunction Scores Lactic Acid Risk Factors Multiple Trauma Calcitonin Postoperative Complications Adult Predictive Value of Tests Length of Stay Male C-Reactive Protein Sepsis Middle Aged Time Factors Hospital Mortality
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Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Brain imaging and behavior Dec 1, 2016
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prod...
Disease Progression Cognitive Dysfunction ROC Curve Multimodal Imaging Radiopharmaceuticals Machine Learning Databases, Factual Brain Prognosis Aged Neuroimaging Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Pattern Recognition, Automated Fluorodeoxyglucose F18 Humans
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[Research on Clinical Electrocardiogram Classification Algorithm Based on Ensemble Learning].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi Oct 1, 2016
With the increasing number of electrocardiogram(ECG)data,extensive application requirements of computer-aided ECG analysis have occurred.In the paper,we propose a variety of strategies to improve the performance of clinical ECG classification algorit...
Humans Neural Networks, Computer Machine Learning Algorithms ROC Curve Electrocardiography Bayes Theorem
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Improved Automated Detection of Diabetic Retinopathy on a Publicly Available Dataset Through Integration of Deep Learning.

Investigative ophthalmology & visual science Oct 1, 2016
PURPOSE: To compare performance of a deep-learning enhanced algorithm for automated detection of diabetic retinopathy (DR), to the previously published performance of that algorithm, the Iowa Detection Program (IDP)-without deep learning components-o...
Diagnostic Techniques, Ophthalmological Ophthalmologists Diagnosis, Computer-Assisted ROC Curve Follow-Up Studies Retina Automation Humans Algorithms Diabetic Retinopathy Retrospective Studies Neural Networks, Computer Female Male Middle Aged
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Level of adrenomedullin in cases with adrenal defficiency and its relation to mortality in patients with sepsis.

Tuberkuloz ve toraks Sep 1, 2016
INTRODUCTION: The aim of this study was to determine the prognostic value of adrenomedullin, after evaluation of adrenal function in sepsis patients. We also evaluated other prognostic factors such as APACHE II score, proBNP, and CRP and their predic...
Risk Assessment Sepsis ROC Curve Humans Adrenomedullin Early Diagnosis Intensive Care Units Prospective Studies APACHE Female Biomarkers Aged Prognosis Male Middle Aged
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Elevated Presepsin Levels are Associated with Severity and Prognosis of Severe Acute Pancreatitis.

Clinical laboratory Sep 1, 2016
BACKGROUND: Current clinical scoring systems are insufficient in the early identification of severe acute pancreatitis (SAP) patients at risk of developing potentially lethal complications. This present study was designed to evaluate the relationship...
Acute Disease Peptide Fragments APACHE Lipopolysaccharide Receptors Pancreatitis Hospital Mortality ROC Curve Multiple Organ Failure Female Predictive Value of Tests Male Humans Area Under Curve Middle Aged Biomarkers Severity of Illness Index Prognosis Case-Control Studies Retrospective Studies
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