AIMC Topic: ROC Curve

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An ontology-driven clinical decision support system (IDDAP) for infectious disease diagnosis and antibiotic prescription.

Artificial intelligence in medicine Feb 9, 2018
BACKGROUND: The available antibiotic decision-making systems were developed from a physician's perspective. However, because infectious diseases are common, many patients desire access to knowledge via a search engine. Although the use of antibiotics...
Decision Support Systems, Clinical Bacterial Infections Predictive Value of Tests Biological Ontologies Drug Prescriptions Drug Therapy, Computer-Assisted Clinical Decision-Making Reproducibility of Results Diagnosis, Computer-Assisted User-Computer Interface ROC Curve Humans Machine Learning Decision Support Techniques Anti-Bacterial Agents
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Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm.

The Journal of investigative dermatology Feb 8, 2018
We tested the use of a deep learning algorithm to classify the clinical images of 12 skin diseases-basal cell carcinoma, squamous cell carcinoma, intraepithelial carcinoma, actinic keratosis, seborrheic keratosis, malignant melanoma, melanocytic nevu...
Adult Male Middle Aged Deep Learning ROC Curve Skin Neoplasms Aged Aged, 80 and over Young Adult Skin Datasets as Topic False Positive Reactions Photography Keratosis, Seborrheic Image Processing, Computer-Assisted Diagnosis, Differential Predictive Value of Tests Area Under Curve Biopsy Humans Software Female Warts Granuloma, Pyogenic Keratosis, Actinic Lentigo
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Machine learning for identifying Randomized Controlled Trials: An evaluation and practitioner's guide.

Research synthesis methods Feb 7, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this w...
Humans Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Information Storage and Retrieval Subject Headings Evidence-Based Medicine Search Engine ROC Curve Databases, Bibliographic Support Vector Machine Randomized Controlled Trials as Topic Registries Review Literature as Topic
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Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction.

BMC bioinformatics Feb 6, 2018
BACKGROUND: The correct determination of protein-protein interaction interfaces is important for understanding disease mechanisms and for rational drug design. To date, several computational methods for the prediction of protein interfaces have been ...
Binding Sites ROC Curve Protein Interaction Domains and Motifs Support Vector Machine Proteins Area Under Curve Amino Acids
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Using Convolutional Neural Networks for Enhanced Capture of Breast Parenchymal Complexity Patterns Associated with Breast Cancer Risk.

Academic radiology Feb 1, 2018
RATIONALE AND OBJECTIVES: We evaluate utilizing convolutional neural networks (CNNs) to optimally fuse parenchymal complexity measurements generated by texture analysis into discriminative meta-features relevant for breast cancer risk prediction.
Mammography Area Under Curve Breast Parenchymal Tissue Humans Neural Networks, Computer Retrospective Studies Female Adult Breast Neoplasms Case-Control Studies ROC Curve
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Prediction of GPCR-Ligand Binding Using Machine Learning Algorithms.

Computational and mathematical methods in medicine Jan 30, 2018
We propose a novel method that predicts binding of G-protein coupled receptors (GPCRs) and ligands. The proposed method uses hub and cycle structures of ligands and amino acid motif sequences of GPCRs, rather than the 3D structure of a receptor or si...
Area Under Curve Quercetin Ligands Reproducibility of Results Amino Acid Motifs Humans False Positive Reactions ROC Curve Sequence Analysis, Protein Machine Learning Binding Sites Protein Binding Software Receptors, G-Protein-Coupled Algorithms
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Risk-Predicting Model for Incident of Essential Hypertension Based on Environmental and Genetic Factors with Support Vector Machine.

Interdisciplinary sciences, computational life sciences Jan 29, 2018
Essential hypertension (EH) has become a major chronic disease around the world. To build a risk-predicting model for EH can help to interpose people's lifestyle and dietary habit to decrease the risk of getting EH. In this study, we constructed a EH...
Humans Risk Factors ROC Curve Genetic Predisposition to Disease Models, Genetic Support Vector Machine Environment Essential Hypertension
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Multicentre validation of a sepsis prediction algorithm using only vital sign data in the emergency department, general ward and ICU.

BMJ open Jan 26, 2018
OBJECTIVES: We validate a machine learning-based sepsis-prediction algorithm () for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-specifi...
Young Adult Adult Male Middle Aged Severity of Illness Index Length of Stay Sepsis Adolescent Hospital Mortality Vital Signs Prognosis San Francisco ROC Curve Retrospective Studies Humans Boston Shock, Septic Intensive Care Units Machine Learning Patients' Rooms Area Under Curve Female Algorithms Emergency Service, Hospital Aged Databases, Factual
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Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Scientific reports Jan 26, 2018
Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the development of non-melanoma skin cancer (NMSC). The objective of this study was to develop and validate a multi-parameterized artificial neural network ...
Neural Networks, Computer Decision Support Techniques Female Skin Neoplasms Sensitivity and Specificity Male Middle Aged ROC Curve Diagnostic Tests, Routine Early Diagnosis Humans
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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...
Neoplasm Proteins Geriatric Assessment Reference Values Alzheimer Disease Neuropsychological Tests Humans Aged, 80 and over Biomarkers Male Female Cognitive Dysfunction Aged ROC Curve Proteoglycans
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