AIMC Topic:
Databases, Factual

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Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data.

Artificial intelligence in medicine Nov 17, 2016
OBJECTIVE: Given the availability of extensive digitized healthcare data from medical records, claims and prescription information, it is now possible to use hypothesis-free, data-driven approaches to mine medical databases for novel insight. The goa...
Centers for Medicare and Medicaid Services, U.S. United States Bayes Theorem Disease Management Humans Artificial Intelligence Databases, Factual
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A Novel and Effective Method for Congestive Heart Failure Detection and Quantification Using Dynamic Heart Rate Variability Measurement.

PloS one Nov 11, 2016
Risk assessment of congestive heart failure (CHF) is essential for detection, especially helping patients make informed decisions about medications, devices, transplantation, and end-of-life care. The majority of studies have focused on disease detec...
Decision Trees Heart Failure Heart Rate Case-Control Studies Support Vector Machine Models, Statistical Humans Databases, Factual Prognosis Risk Assessment Severity of Illness Index
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Universal Feature Extraction for Traffic Identification of the Target Category.

PloS one Nov 10, 2016
Traffic identification of the target category is currently a significant challenge for network monitoring and management. To identify the target category with pertinence, a feature extraction algorithm based on the subset with highest proportion is p...
Algorithms Databases, Factual Pattern Recognition, Automated Machine Learning
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Using machine learning to parse breast pathology reports.

Breast cancer research and treatment Nov 8, 2016
PURPOSE: Extracting information from electronic medical record is a time-consuming and expensive process when done manually. Rule-based and machine learning techniques are two approaches to solving this problem. In this study, we trained a machine le...
Humans Machine Learning Databases, Factual Neoplasm Staging Neoplasm Grading Data Mining Neoplasm Metastasis Electronic Health Records Female Reproducibility of Results Breast Neoplasms
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Assessing Hospital Performance After Percutaneous Coronary Intervention Using Big Data.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: Although risk adjustment remains a cornerstone for comparing outcomes across hospitals, optimal strategies continue to evolve in the presence of many confounders. We compared conventional regression-based model to approaches particularly ...
Percutaneous Coronary Intervention Aged, 80 and over Data Mining Male Quality Indicators, Health Care Middle Aged Databases, Factual Multivariate Analysis Humans Hospitals Female Machine Learning Treatment Outcome Time Factors Risk Factors Cause of Death Algorithms Hospital Mortality Aged Registries Logistic Models Propensity Score Likelihood Functions Massachusetts Process Assessment, Health Care
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Analysis of Machine Learning Techniques for Heart Failure Readmissions.

Circulation. Cardiovascular quality and outcomes Nov 8, 2016
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance predict...
Logistic Models Support Vector Machine Randomized Controlled Trials as Topic Heart Failure Data Mining Telemedicine Patient Readmission Male Middle Aged Risk Assessment Time Factors Reproducibility of Results Risk Factors Humans Aged Algorithms Databases, Factual Female Nonlinear Dynamics
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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 Algorithms Databases, Factual Equipment Failure Analysis Computer Simulation Manufacturing and Industrial Facilities Models, Theoretical Humans Neural Networks, Computer
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Humans Diagnosis, Computer-Assisted Support Vector Machine Predictive Value of Tests Signal Processing, Computer-Assisted Databases, Factual Female Male Case-Control Studies Voice Quality Vocal Cord Paralysis Vocal Cords Voice Disorders Speech Production Measurement Pattern Recognition, Automated Edema Speech Acoustics
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Ontobee: A linked ontology data server to support ontology term dereferencing, linkage, query and integration.

Nucleic acids research Oct 12, 2016
Linked Data (LD) aims to achieve interconnected data by representing entities using Unified Resource Identifiers (URIs), and sharing information using Resource Description Frameworks (RDFs) and HTTP. Ontologies, which logically represent entities and...
Software Databases, Factual Biological Ontologies Web Browser
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Human Motion Retrieval Based on Statistical Learning and Bayesian Fusion.

PloS one Oct 12, 2016
A novel motion retrieval approach based on statistical learning and Bayesian fusion is presented. The approach includes two primary stages. (1) In the learning stage, fuzzy clustering is utilized firstly to get the representative frames of motions, a...
Information Storage and Retrieval Pattern Recognition, Automated Movement Cluster Analysis Bayes Theorem Probability Humans Artificial Intelligence Algorithms Databases, Factual
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