AIMC Topic: Algorithms

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Orthogonal convolutional neural networks for automatic sleep stage classification based on single-channel EEG.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVE: In recent years, several automatic sleep stage classification methods based on convolutional neural networks (CNN) by learning hierarchical feature representation automatically from raw EEG data have been proposed. However, ...
Humans Neural Networks, Computer Machine Learning Sleep Apnea, Obstructive Reproducibility of Results Adult Sleep Calibration Algorithms Sleep Stages Databases, Factual Polysomnography Sensitivity and Specificity Sleep Wake Disorders Male Time Factors Electrocardiography Electroencephalography Signal Processing, Computer-Assisted
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An overview and metanalysis of machine and deep learning-based CRISPR gRNA design tools.

RNA biology Sep 27, 2019
The CRISPR-Cas9 system has become the most promising and versatile tool for genetic manipulation applications. Albeit the technology has been broadly adopted by both academic and pharmaceutic societies, the activity (on-target) and specificity (off-t...
Gene Editing Gene Targeting RNA, Guide, CRISPR-Cas Systems Humans Machine Learning Deep Learning CRISPR-Cas Systems Algorithms Sensitivity and Specificity
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Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces.

International journal of medical informatics Sep 27, 2019
OBJECTIVES: To determine the effect of a domain-specific ontology and machine learning-driven user interfaces on the efficiency and quality of documentation of presenting problems (chief complaints) in the emergency department (ED).
Quality Improvement Documentation Forms and Records Control User-Computer Interface Humans Decision Support Systems, Clinical Emergency Service, Hospital Female Male Depressive Disorder, Major Case-Control Studies Machine Learning Algorithms Retrospective Studies
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Utilizing Machine Learning for Efficient Parameterization of Coarse Grained Molecular Force Fields.

Journal of chemical information and modeling Sep 27, 2019
We present a machine learning approach to automated force field development in dissipative particle dynamics (DPD). The approach employs Bayesian optimization to parametrize a DPD force field against experimentally determined partition coefficients. ...
Bayes Theorem Molecular Dynamics Simulation Thermodynamics Chemical Engineering Machine Learning Algorithms
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Ontology-Based Healthcare Named Entity Recognition from Twitter Messages Using a Recurrent Neural Network Approach.

International journal of environmental research and public health Sep 27, 2019
Named Entity Recognition (NER) in the healthcare domain involves identifying and categorizing disease, drugs, and symptoms for biosurveillance, extracting their related properties and activities, and identifying adverse drug events appearing in texts...
Information Storage and Retrieval Biological Ontologies Unified Medical Language System Neural Networks, Computer Algorithms Social Media Humans
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Rummaging through the bin: Modelling marine litter distribution using Artificial Neural Networks.

Marine pollution bulletin Sep 26, 2019
Marine litter has significant ecological, social and economic impacts, ultimately raising welfare and conservation concerns. Assessing marine litter hotspots or inferring potential areas of accumulation are challenging topics of marine research. Neve...
Sicily Neural Networks, Computer Environmental Monitoring Machine Learning Waste Products Algorithms Mediterranean Sea
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Deep learning for World Health Organization grades of pancreatic neuroendocrine tumors on contrast-enhanced magnetic resonance images: a preliminary study.

International journal of computer assisted radiology and surgery Sep 26, 2019
PURPOSE: The World Health Organization (WHO) grading system of pancreatic neuroendocrine tumor (PNET) plays an important role in the clinical decision. The rarity of PNET often negatively affects the radiological application of deep learning algorith...
Pancreatic Neoplasms Neoplasm Grading World Health Organization Deep Learning Contrast Media Magnetic Resonance Imaging Neuroendocrine Tumors Humans Neural Networks, Computer Algorithms Female Male Middle Aged
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All-Assay-Max2 pQSAR: Activity Predictions as Accurate as Four-Concentration ICs for 8558 Novartis Assays.

Journal of chemical information and modeling Sep 26, 2019
Profile-quantitative structure-activity relationship (pQSAR) is a massively multitask, two-step machine learning method with unprecedented scope, accuracy, and applicability domain. In step one, a "profile" of conventional single-assay random forest ...
Machine Learning Algorithms Drug Discovery Logistic Models Models, Chemical Dose-Response Relationship, Drug Proteins Biological Assay Inhibitory Concentration 50 Quantitative Structure-Activity Relationship
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Sensor Fault Detection and Diagnosis Method for AHU Using 1-D CNN and Clustering Analysis.

Computational intelligence and neuroscience Sep 26, 2019
This paper presents a fault detection and diagnosis (FDD) method, which uses one-dimensional convolutional neural network (1-D CNN) and WaveCluster clustering analysis to detect and diagnose sensor faults in the supply air temperature ( ) control loo...
Diagnostic Errors Humans Cluster Analysis Neural Networks, Computer Noise Algorithms
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Enhancing the security of patients' portals and websites by detecting malicious web crawlers using machine learning techniques.

International journal of medical informatics Sep 25, 2019
INTRODUCTION: There is increasing demand for access to medical information via patients' portals. However, one of the challenges towards widespread utilisation of such service is maintaining the security of those portals. Recent reports show an alarm...
Computer Security Humans Patient Portals Neural Networks, Computer Decision Trees Machine Learning Bayes Theorem Software Internet Algorithms Support Vector Machine
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