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Transfer Learning with Deep Convolutional Neural Networks for Classifying Cellular Morphological Changes.

SLAS discovery : advancing life sciences R & D Jan 14, 2019
The quantification and identification of cellular phenotypes from high-content microscopy images has proven to be very useful for understanding biological activity in response to different drug treatments. The traditional approach has been to use cla...
Humans Neural Networks, Computer Deep Learning MCF-7 Cells Datasets as Topic
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A proposal of prior probability-oriented clustering in feature encoding strategies.

PloS one Jan 10, 2019
Codebook-based feature encodings are a standard framework for image recognition issues. A codebook is usually constructed by clusterings, such as the k-means and the Gaussian Mixture Model (GMM). A codebook size is an important factor to decide the t...
Image Processing, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Support Vector Machine Cluster Analysis Probability
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Learning to detect chest radiographs containing pulmonary lesions using visual attention networks.

Medical image analysis Jan 9, 2019
Machine learning approaches hold great potential for the automated detection of lung nodules on chest radiographs, but training algorithms requires very large amounts of manually annotated radiographs, which are difficult to obtain. The increasing av...
Lung Diseases Algorithms Datasets as Topic Diagnosis, Computer-Assisted Radiography, Thoracic Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer
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Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.

PloS one Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Humans Datasets as Topic Myocardial Revascularization Decision Making, Computer-Assisted Patient Selection Diagnosis, Computer-Assisted Diagnosis, Differential Neural Networks, Computer Chest Pain Time Factors Predictive Value of Tests Prognosis Electrocardiography Acute Coronary Syndrome Emergency Service, Hospital Sensitivity and Specificity
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Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data.

NeuroImage Jan 8, 2019
Performing quality control to detect image artifacts and data-processing errors is crucial in structural magnetic resonance imaging, especially in developmental studies. Currently, many studies rely on visual inspection by trained raters for quality ...
Conduct Disorder Human Development Quality Control Datasets as Topic Neuroimaging Cross-Sectional Studies Adolescent Child Support Vector Machine Longitudinal Studies Magnetic Resonance Imaging Young Adult Adult Sensitivity and Specificity Autism Spectrum Disorder Brain Humans
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A clinical text classification paradigm using weak supervision and deep representation.

BMC medical informatics and decision making Jan 7, 2019
BACKGROUND: Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective for clinical text classificatio...
Humans Neural Networks, Computer Machine Learning Hip Fractures Algorithms Datasets as Topic Electronic Health Records Smoking Natural Language Processing
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Long short-term memory - Fully connected (LSTM-FC) neural network for PM concentration prediction.

Chemosphere Dec 21, 2018
People have been suffering from air pollution for a decade in China, especially from PM (particulate matter with a diameter of less than 2.5 μm). Accurate prediction of air quality has great practical significance. In this paper, we propose a data-dr...
China Models, Theoretical Air Pollutants Environmental Monitoring Particulate Matter Humans Datasets as Topic Neural Networks, Computer
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Feature selection and tumor classification for microarray data using relaxed Lasso and generalized multi-class support vector machine.

Journal of theoretical biology Dec 8, 2018
At present, the study of gene expression data provides a reference for tumor diagnosis at the molecular level. It is a challenging task to select the feature genes related to the classification from the high-dimensional and small-sample gene expressi...
Gene Expression Profiling Support Vector Machine Datasets as Topic Oligonucleotide Array Sequence Analysis Humans Software Neoplasms
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FABLE: A Semi-Supervised Prescription Information Extraction System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Prescription information is an important component of electronic health records (EHRs). This information contains detailed medication instructions that are crucial for patients' well-being and is often detailed in the narrative portions of EHRs. As a...
Information Storage and Retrieval Natural Language Processing Humans Supervised Machine Learning Electronic Health Records Datasets as Topic Drug Prescriptions Patient Discharge Summaries
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A Frame-Based NLP System for Cancer-Related Information Extraction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
We propose a frame-based natural language processing (NLP) method that extracts cancer-related information from clinical narratives. We focus on three frames: cancer diagnosis, cancer therapeutic procedure, and tumor description. We utilize a deep le...
Heuristics Datasets as Topic Information Storage and Retrieval Neoplasms Humans Deep Learning Semantics Neural Networks, Computer Natural Language Processing Electronic Health Records
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