AIMC Topic: Linear Models

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Distant Supervision with Transductive Learning for Adverse Drug Reaction Identification from Electronic Medical Records.

Journal of healthcare engineering Sep 26, 2017
Information extraction and knowledge discovery regarding adverse drug reaction (ADR) from large-scale clinical texts are very useful and needy processes. Two major difficulties of this task are the lack of domain experts for labeling examples and int...
Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Humans Knowledge Bases Medical Informatics Algorithms Software Information Storage and Retrieval Electronic Health Records Linear Models Language Pattern Recognition, Automated Natural Language Processing Adverse Drug Reaction Reporting Systems
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Multiple Cayley-Klein metric learning.

PloS one Sep 21, 2017
As a specific kind of non-Euclidean metric lies in projective space, Cayley-Klein metric has been recently introduced in metric learning to deal with the complex data distributions in computer vision tasks. In this paper, we extend the original Cayle...
Linear Models Face Pattern Recognition, Automated Internet Nonlinear Dynamics Datasets as Topic Humans Machine Learning Time Factors Image Processing, Computer-Assisted
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Development of a highly sensitive and specific ELISA method for the determination of l-corydalmine in SD rats with monoclonal antibody.

Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Sep 14, 2017
l-Corydalmine (l-CDL) is a potent analgesic constituent of the traditional Chinese medicine, Rhizoma Corydalis. However, the pharmacokinetic process and tissue distribution of l-CDL in vivo are still unknown. Therefore, it is necessary to establish a...
Limit of Detection Myocardium Enzyme-Linked Immunosorbent Assay Linear Models Reproducibility of Results Rats, Sprague-Dawley Berberine Tissue Distribution Liver Chromatography, High Pressure Liquid Antibodies, Monoclonal Animals Rats
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Mittag-Leffler synchronization of fractional neural networks with time-varying delays and reaction-diffusion terms using impulsive and linear controllers.

Neural networks : the official journal of the International Neural Network Society Sep 8, 2017
In this paper, we propose a fractional-order neural network system with time-varying delays and reaction-diffusion terms. We first develop a new Mittag-Leffler synchronization strategy for the controlled nodes via impulsive controllers. Using the fra...
Neural Networks, Computer Algorithms Time Factors Reaction Time Diffusion Linear Models Memory, Long-Term
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Gene2DisCo: Gene to disease using disease commonalities.

Artificial intelligence in medicine Sep 4, 2017
OBJECTIVE: Finding the human genes co-causing complex diseases, also known as "disease-genes", is one of the emerging and challenging tasks in biomedicine. This process, termed gene prioritization (GP), is characterized by a scarcity of known disease...
Toxicogenetics Gene Regulatory Networks Genetic Predisposition to Disease Models, Genetic Humans Databases, Genetic Area Under Curve Machine Learning Algorithms Genetic Markers ROC Curve Data Mining Linear Models
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Construction accident narrative classification: An evaluation of text mining techniques.

Accident; analysis and prevention Sep 1, 2017
Learning from past accidents is fundamental to accident prevention. Thus, accident and near miss reporting are encouraged by organizations and regulators. However, for organizations managing large safety databases, the time taken to accurately classi...
Databases, Factual Reproducibility of Results Accidents, Occupational Support Vector Machine Humans Machine Learning Algorithms Data Mining Accidents Construction Industry Linear Models Decision Trees Narration Bayes Theorem Safety
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A pilot study in using deep learning to predict limited life expectancy in women with recurrent cervical cancer.

American journal of obstetrics and gynecology Aug 24, 2017
Retrospective Studies Clinical Decision-Making Female Uterine Cervical Neoplasms Neural Networks, Computer Machine Learning Decision Support Techniques Prognosis Pilot Projects Neoplasm Recurrence, Local Linear Models Life Expectancy Humans
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Using machine learning to identify air pollution exposure profiles associated with early cognitive skills among U.S. children.

Environmental pollution (Barking, Essex : 1987) Jul 18, 2017
Data-driven machine learning methods present an opportunity to simultaneously assess the impact of multiple air pollutants on health outcomes. The goal of this study was to apply a two-stage, data-driven approach to identify associations between air ...
Urban Population Longitudinal Studies Air Pollution Particulate Matter Environmental Exposure Child, Preschool Linear Models Child Neuropsychological Tests United States Humans Cognition Machine Learning Female Male Infant
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Improving dense conditional random field for retinal vessel segmentation by discriminative feature learning and thin-vessel enhancement.

Computer methods and programs in biomedicine Jun 24, 2017
BACKGROUND AND OBJECTIVES: As retinal vessels in color fundus images are thin and elongated structures, standard pairwise based random fields, which always suffer the "shrinking bias" problem, are not competent for such segmentation task. Recently, a...
Neural Networks, Computer Linear Models Image Enhancement Retinal Vessels Humans
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Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.

Cancer letters Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Humans Decision Support Techniques Reproducibility of Results Risk Factors High-Throughput Screening Assays Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Predictive Value of Tests Linear Models Risk Assessment Nasopharyngeal Carcinoma Area Under Curve Treatment Failure Diagnosis, Computer-Assisted Nasopharyngeal Neoplasms Carcinoma ROC Curve Support Vector Machine
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