AIMC Topic: Electronic Data Processing

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PLAT: An Automated Fault and Behavioural Anomaly Detection Tool for PLC Controlled Manufacturing Systems.

Computational intelligence and neuroscience Nov 7, 2016
Operational faults and behavioural anomalies associated with PLC control processes take place often in a manufacturing system. Real time identification of these operational faults and behavioural anomalies is necessary in the manufacturing industry. ...
Electronic Data Processing Equipment Failure Analysis Manufacturing and Industrial Facilities Computer Simulation Models, Theoretical Humans Algorithms Databases, Factual Neural Networks, Computer
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Automated identification of wound information in clinical notes of patients with heart diseases: Developing and validating a natural language processing application.

International journal of nursing studies Sep 19, 2016
BACKGROUND: Electronic health records are being increasingly used by nurses with up to 80% of the health data recorded as free text. However, only a few studies have developed nursing-relevant tools that help busy clinicians to identify information t...
Humans Point-of-Care Systems Electronic Data Processing Heart Diseases Natural Language Processing Hospital Information Systems Automation Wounds and Injuries
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Automated learning of domain taxonomies from text using background knowledge.

Journal of biomedical informatics Sep 3, 2016
In this paper, we present an automated method for taxonomy learning, focusing on concept formation and hierarchical relation learning. To infer such relations, we partition the extracted concepts and group them into closely-related clusters using Hie...
Knowledge MEDLINE Electronic Data Processing Humans Unsupervised Machine Learning Cluster Analysis Semantics
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Automated detection of discourse segment and experimental types from the text of cancer pathway results sections.

Database : the journal of biological databases and curation Aug 31, 2016
Automated machine-reading biocuration systems typically use sentence-by-sentence information extraction to construct meaning representations for use by curators. This does not directly reflect the typical discourse structure used by scientists to con...
Data Mining Electronic Data Processing Humans Machine Learning Animals Natural Language Processing Databases, Factual
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Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records.

Scientific reports May 17, 2016
Secondary use of electronic health records (EHRs) promises to advance clinical research and better inform clinical decision making. Challenges in summarizing and representing patient data prevent widespread practice of predictive modeling using EHRs....
Biostatistics Prognosis Electronic Health Records Electronic Data Processing Humans Machine Learning
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A Comparison of Natural Language Processing Methods for Automated Coding of Motivational Interviewing.

Journal of substance abuse treatment Jan 28, 2016
Motivational interviewing (MI) is an efficacious treatment for substance use disorders and other problem behaviors. Studies on MI fidelity and mechanisms of change typically use human raters to code therapy sessions, which requires considerable time,...
Humans Health Personnel Female Substance-Related Disorders Motivational Interviewing Electronic Data Processing Male Natural Language Processing
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FPGA-Based Stochastic Echo State Networks for Time-Series Forecasting.

Computational intelligence and neuroscience Dec 31, 2015
Hardware implementation of artificial neural networks (ANNs) allows exploiting the inherent parallelism of these systems. Nevertheless, they require a large amount of resources in terms of area and power dissipation. Recently, Reservoir Computing (RC...
Stochastic Processes Neurons Nonlinear Dynamics Algorithms Electronic Data Processing Humans Forecasting Time Factors Neural Networks, Computer Computer Systems Models, Neurological
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A Neural Network Approach to Intention Modeling for User-Adapted Conversational Agents.

Computational intelligence and neuroscience Dec 27, 2015
Spoken dialogue systems have been proposed to enable a more natural and intuitive interaction with the environment and human-computer interfaces. In this contribution, we present a framework based on neural networks that allows modeling of the user's...
Humans Algorithms Travel Computer Simulation Models, Theoretical Neural Networks, Computer Intention Communication Electronic Data Processing User-Computer Interface
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Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Brain glioma is the most common primary malignant brain tumors in adults with different pathologic subtypes: Lower Grade Glioma (LGG) Grade II, Lower Grade Glioma (LGG) Grade III, and Glioblastoma Multiforme (GBM) Grade IV. The survival and treatment...
Glioma Machine Learning Glioblastoma Electronic Data Processing Humans Brain Neoplasms Neural Networks, Computer Image Processing, Computer-Assisted
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Learning a Severity Score for Sepsis: A Novel Approach based on Clinical Comparisons.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Sepsis is one of the leading causes of death in the United States. Early administration of treatment has been shown to decrease sepsis-related mortality and morbidity. Existing scoring systems such as the Acute Physiology and Chronic Health Evaluatio...
Shock, Septic APACHE Electronic Data Processing Prognosis Humans Sepsis Machine Learning
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