AIMC Topic: Electronic Data Processing

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Development of a Natural Language Processing Engine to Generate Bladder Cancer Pathology Data for Health Services Research.

Urology Sep 12, 2017
OBJECTIVE: To take the first step toward assembling population-based cohorts of patients with bladder cancer with longitudinal pathology data, we developed and validated a natural language processing (NLP) engine that abstracts pathology data from fu...
Electronic Data Processing Health Services Research Humans Urinary Bladder Neoplasms Natural Language Processing
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Combining Biomarkers with EMR Data to Identify Patients in Different Phases of Sepsis.

Scientific reports Sep 7, 2017
Sepsis is a leading cause of death and is the most expensive condition to treat in U.S. hospitals. Despite targeted efforts to automate earlier detection of sepsis, current techniques rely exclusively on using either standard clinical data or novel b...
Machine Learning Decision Support Techniques Biomarkers Humans United States Predictive Value of Tests Electronic Data Processing Electronic Health Records Sepsis ROC Curve
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Automated robot-assisted surgical skill evaluation: Predictive analytics approach.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 29, 2017
BACKGROUND: Surgical skill assessment has predominantly been a subjective task. Recently, technological advances such as robot-assisted surgery have created great opportunities for objective surgical evaluation. In this paper, we introduce a predicti...
Humans Machine Learning Support Vector Machine Regression Analysis Equipment Design Reproducibility of Results Surgeons Clinical Competence Electronic Data Processing Suture Techniques Movement Motion Data Mining Task Performance and Analysis Robotic Surgical Procedures Sutures
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Deep convolutional neural networks for automatic classification of gastric carcinoma using whole slide images in digital histopathology.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 16, 2017
Deep learning using convolutional neural networks is an actively emerging field in histological image analysis. This study explores deep learning methods for computer-aided classification in H&E stained histopathological whole slide images of gastric...
Electronic Data Processing Algorithms Stomach Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Machine Learning Software
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An unsupervised learning approach for tracking mice in an enclosed area.

BMC bioinformatics May 25, 2017
BACKGROUND: In neuroscience research, mouse models are valuable tools to understand the genetic mechanisms that advance evidence-based discovery. In this context, large-scale studies emphasize the need for automated high-throughput systems providing ...
Behavior, Animal Social Behavior Unsupervised Machine Learning Models, Animal Electronic Data Processing Mice Mice, Inbred C57BL Algorithms Female Animals
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Feature Extraction and Classification of EHG between Pregnancy and Labour Group Using Hilbert-Huang Transform and Extreme Learning Machine.

Computational and mathematical methods in medicine Feb 19, 2017
Preterm birth (PTB) is the leading cause of perinatal mortality and long-term morbidity, which results in significant health and economic problems. The early detection of PTB has great significance for its prevention. The electrohysterogram (EHG) rel...
Female Reproducibility of Results ROC Curve Monitoring, Physiologic Models, Statistical Bayes Theorem Algorithms Databases, Factual Pregnancy Humans Labor, Obstetric Machine Learning Uterine Contraction Signal Processing, Computer-Assisted Medical Informatics Electronic Data Processing
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Adaptive Local Information Transfer in Random Boolean Networks.

Artificial life Feb 2, 2017
Living systems such as gene regulatory networks and neuronal networks have been supposed to work close to dynamical criticality, where their information-processing ability is optimal at the whole-system level. We investigate how this global informati...
Robotics Models, Biological Electronic Data Processing Models, Theoretical
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Delayed Monocular SLAM Approach Applied to Unmanned Aerial Vehicles.

PloS one Dec 29, 2016
In recent years, many researchers have addressed the issue of making Unmanned Aerial Vehicles (UAVs) more and more autonomous. In this context, the state estimation of the vehicle position is a fundamental necessity for any application involving auto...
Physiological Phenomena Robotics Algorithms Computer Systems Aircraft Electronic Data Processing
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Accuracy of an automated knowledge base for identifying drug adverse reactions.

Journal of biomedical informatics Dec 16, 2016
INTRODUCTION: Drug safety researchers seek to know the degree of certainty with which a particular drug is associated with an adverse drug reaction. There are different sources of information used in pharmacovigilance to identify, evaluate, and disse...
Pharmacovigilance Electronic Data Processing Adverse Drug Reaction Reporting Systems Humans Drug-Related Side Effects and Adverse Reactions Knowledge Bases
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A simplified computational memory model from information processing.

Scientific reports Nov 23, 2016
This paper is intended to propose a computational model for memory from the view of information processing. The model, called simplified memory information retrieval network (SMIRN), is a bi-modular hierarchical functional memory network by abstracti...
Information Storage and Retrieval Electronic Data Processing Memory Learning Cognition Humans Algorithms Brain Neural Networks, Computer Computer Simulation
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