AIMC Topic: False Positive Reactions

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Detecting Opioid-Related Aberrant Behavior using Natural Language Processing.

AMIA ... Annual Symposium proceedings. AMIA Symposium Apr 16, 2018
The United States is in the midst of a prescription opioid epidemic, with the number of yearly opioid-related overdose deaths increasing almost fourfold since 2000. To more effectively prevent unintentional opioid overdoses, the medical profession re...
False Positive Reactions Natural Language Processing Analgesics, Opioid Opioid-Related Disorders Datasets as Topic Humans Electronic Health Records Support Vector Machine Population Surveillance
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A hybrid model based on neural networks for biomedical relation extraction.

Journal of biomedical informatics Mar 27, 2018
Biomedical relation extraction can automatically extract high-quality biomedical relations from biomedical texts, which is a vital step for the mining of biomedical knowledge hidden in the literature. Recurrent neural networks (RNNs) and convolutiona...
Research Design Models, Statistical Natural Language Processing Humans Medical Informatics Neural Networks, Computer Pattern Recognition, Automated Machine Learning False Positive Reactions Algorithms Drug Interactions Data Mining
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A deep 3D residual CNN for false-positive reduction in pulmonary nodule detection.

Medical physics Mar 25, 2018
PURPOSE: The automatic detection of pulmonary nodules using CT scans improves the efficiency of lung cancer diagnosis, and false-positive reduction plays a significant role in the detection. In this paper, we focus on the false-positive reduction tas...
Neural Networks, Computer Tomography, X-Ray Computed Imaging, Three-Dimensional Lung Neoplasms False Positive Reactions Humans
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Computational Prediction of Sigma-54 Promoters in Bacterial Genomes by Integrating Motif Finding and Machine Learning Strategies.

IEEE/ACM transactions on computational biology and bioinformatics Mar 15, 2018
Sigma factor, as a unit of RNA polymerase holoenzyme, is a critical factor in the process of gene transcriptional regulation. It recognizes the specific DNA sites and brings the core enzyme of RNA polymerase to the upstream regions of target genes. T...
Escherichia coli Proteins Base Sequence False Positive Reactions Reproducibility of Results Promoter Regions, Genetic Amino Acid Motifs Computational Biology DNA-Directed RNA Polymerases Escherichia coli Machine Learning RNA Polymerase Sigma 54 Transcription, Genetic Models, Statistical Software Genome, Bacterial
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Predicting urinary tract infections in the emergency department with machine learning.

PloS one Mar 7, 2018
BACKGROUND: Urinary tract infection (UTI) is a common emergency department (ED) diagnosis with reported high diagnostic error rates. Because a urine culture, part of the gold standard for diagnosis of UTI, is usually not available for 24-48 hours aft...
Male Middle Aged ROC Curve Predictive Value of Tests Urinary Tract Infections Models, Biological Early Diagnosis Area Under Curve Emergency Service, Hospital Machine Learning False Negative Reactions Retrospective Studies Humans Urine Female False Positive Reactions Sensitivity and Specificity
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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...
Skin Datasets as Topic False Positive Reactions Photography Diagnosis, Differential Predictive Value of Tests Area Under Curve Biopsy Lentigo Keratosis, Seborrheic Warts Granuloma, Pyogenic Keratosis, Actinic Aged Aged, 80 and over Young Adult Adult Deep Learning ROC Curve Image Processing, Computer-Assisted Male Middle Aged Humans Software Female Skin Neoplasms
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Hit Dexter: A Machine-Learning Model for the Prediction of Frequent Hitters.

ChemMedChem Feb 1, 2018
False-positive assay readouts caused by badly behaving compounds-frequent hitters, pan-assay interference compounds (PAINS), aggregators, and others-continue to pose a major challenge to experimental screening. There are only a few in silico methods ...
Machine Learning Databases, Factual Computer Simulation High-Throughput Screening Assays False Positive Reactions Small Molecule Libraries
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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...
Humans Machine Learning Software Receptors, G-Protein-Coupled Area Under Curve Binding Sites Quercetin Algorithms Amino Acid Motifs Ligands Reproducibility of Results Sequence Analysis, Protein False Positive Reactions ROC Curve Protein Binding
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Random ensemble learning for EEG classification.

Artificial intelligence in medicine Jan 3, 2018
Real-time detection of seizure activity in epilepsy patients is critical in averting seizure activity and improving patients' quality of life. Accurate evaluation, presurgical assessment, seizure prevention, and emergency alerts all depend on the rap...
Wavelet Analysis Brain Waves Cloud Computing Electrocorticography Support Vector Machine Brain Mapping Predictive Value of Tests Electroencephalography Automation Neural Networks, Computer False Negative Reactions Seizures Brain False Positive Reactions Humans Signal Processing, Computer-Assisted Reproducibility of Results Time Factors
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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...
False Positive Reactions Neural Networks, Computer Models, Statistical Machine Learning Principal Component Analysis Diagnosis, Computer-Assisted Algorithms Area Under Curve ROC Curve Software Reproducibility of Results Image Processing, Computer-Assisted Diagnostic Imaging
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