AIMC Topic: ROC Curve

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Higher Serum Endocan Level Is Associated with Alzheimer Disease.

Dementia and geriatric cognitive disorders Jan 26, 2018
BACKGROUND: The novel molecule endocan, which is released by endothelium and is regulated by proangiogenic and proinflammatory cytokines, may have a role in the pathophysiology of Alzheimer disease (AD). The aim of this study was to evaluate the rela...
ROC Curve Proteoglycans Aged Aged, 80 and over Neoplasm Proteins Geriatric Assessment Male Cognitive Dysfunction Reference Values Humans Alzheimer Disease Biomarkers Neuropsychological Tests Female
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Classification of Pre-Clinical Seizure States Using Scalp EEG Cross-Frequency Coupling Features.

IEEE transactions on bio-medical engineering Jan 25, 2018
OBJECTIVE: This work proposes a machine-learning based system for a scalp EEG that flags an alarm in advance of a clinical seizure onset.
Scalp Electroencephalography Seizures Signal Processing, Computer-Assisted Humans Machine Learning ROC Curve
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Semi-Supervised Discriminative Classification Robust to Sample-Outliers and Feature-Noises.

IEEE transactions on pattern analysis and machine intelligence Jan 17, 2018
Discriminative methods commonly produce models with relatively good generalization abilities. However, this advantage is challenged in real-world applications (e.g., medical image analysis problems), in which there often exist outlier data points (sa...
Neurodegenerative Diseases Supervised Machine Learning Image Interpretation, Computer-Assisted Neuroimaging Databases, Factual Brain ROC Curve Discriminant Analysis Humans Algorithms
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A method of gene expression data transfer from cell lines to cancer patients for machine-learning prediction of drug efficiency.

Cell cycle (Georgetown, Tex.) Jan 17, 2018
Personalized medicine implies that distinct treatment methods are prescribed to individual patients according several features that may be obtained from, e.g., gene expression profile. The majority of machine learning methods suffer from the deficien...
ROC Curve Humans Gene Expression Regulation, Neoplastic Area Under Curve Kidney Neoplasms Machine Learning Databases, Factual Precision Medicine Antineoplastic Agents
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Federated learning of predictive models from federated Electronic Health Records.

International journal of medical informatics Jan 12, 2018
BACKGROUND: In an era of "big data," computationally efficient and privacy-aware solutions for large-scale machine learning problems become crucial, especially in the healthcare domain, where large amounts of data are stored in different locations an...
Humans Machine Learning Algorithms ROC Curve Support Vector Machine Databases, Factual Electronic Health Records Hospitalization
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Revealing Alzheimer's disease genes spectrum in the whole-genome by machine learning.

BMC neurology Jan 10, 2018
BACKGROUND: Alzheimer's disease (AD) is an important, progressive neurodegenerative disease, with a complex genetic architecture. A key goal of biomedical research is to seek out disease risk genes, and to elucidate the function of these risk genes i...
ROC Curve Area Under Curve Alzheimer Disease Machine Learning Sensitivity and Specificity Genome-Wide Association Study Humans
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An ensemble boosting model for predicting transfer to the pediatric intensive care unit.

International journal of medical informatics Jan 9, 2018
BACKGROUND: Early deterioration indicators have the potential to alert hospital care staff in advance of adverse events, such as patients requiring an increased level of care, or the need for rapid response teams to be called. Our work focuses on the...
Humans Artificial Intelligence Intensive Care Units, Pediatric ROC Curve Models, Statistical Female Male Machine Learning Health Services Needs and Demand Severity of Illness Index Patient Transfer Algorithms Child Child, Hospitalized Retrospective Studies
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Multiscale High-Level Feature Fusion for Histopathological Image Classification.

Computational and mathematical methods in medicine Dec 31, 2017
Histopathological image classification is one of the most important steps for disease diagnosis. We proposed a method for multiclass histopathological image classification based on deep convolutional neural network referred to as coding network. It c...
Reproducibility of Results Diagnosis, Computer-Assisted ROC Curve Image Processing, Computer-Assisted False Positive Reactions Models, Statistical Principal Component Analysis Neural Networks, Computer Area Under Curve Machine Learning Diagnostic Imaging Software Algorithms
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Procalcitonin as Predictor of Bacterial Infection in Meconium Aspiration Syndrome.

American journal of perinatology Dec 29, 2017
BACKGROUND: There is a lack of definite consensus on indications for initiating antibiotics in neonates with meconium aspiration syndrome (MAS), instigating researchers to search for a biomarker that can help differentiate MAS from MAS with bacterial...
Infant, Newborn Sensitivity and Specificity Male ROC Curve Humans Neutrophils Biomarkers C-Reactive Protein Procalcitonin Leukocyte Count Bacterial Infections Female Meconium Aspiration Syndrome
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Computer-aided system for diagnosing thyroid nodules on ultrasound: A comparison with radiologist-based clinical assessments.

Head & neck Dec 29, 2017
BACKGROUND: The purpose of this study was to compare the diagnostic efficiency of a thyroid ultrasound computer-aided diagnosis (CAD) system with that of 1 radiologist.
China Cohort Studies Thyroidectomy Thyroid Neoplasms Thyroid Nodule ROC Curve Ultrasonography, Interventional Sensitivity and Specificity Humans Retrospective Studies Male Radiologists Female Middle Aged Hospitals, University Adult Diagnosis, Computer-Assisted Image-Guided Biopsy
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