AIMC Topic: Models, Theoretical

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Clinical Word Sense Disambiguation with Interactive Search and Classification.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Resolving word ambiguity in clinical text is critical for many natural language processing applications. Effective word sense disambiguation (WSD) systems rely on training a machine learning based classifier with abundant clinical text that is accura...
Humans Models, Theoretical Machine Learning Natural Language Processing Algorithms Problem-Based Learning
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Classification-by-Analogy: Using Vector Representations of Implicit Relationships to Identify Plausibly Causal Drug/Side-effect Relationships.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
An important aspect of post-marketing drug surveillance involves identifying potential side-effects utilizing adverse drug event (ADE) reporting systems and/or Electronic Health Records. These data are noisy, necessitating identified drug/ADE associa...
ROC Curve Drug-Related Side Effects and Adverse Reactions Humans Models, Theoretical Adverse Drug Reaction Reporting Systems Support Vector Machine Machine Learning Product Surveillance, Postmarketing Electronic Health Records
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Controlling testing volume for respiratory viruses using machine learning and text mining.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Viral testing for pediatric inpatients with respiratory symptoms is common, with considerable associated charges. In an attempt to reduce testing volumes, we studied whether data available at the time of admission could aid in identifying children wi...
Respiratory Tract Infections Humans Machine Learning Virus Diseases Retrospective Studies Viruses Child, Preschool Models, Theoretical Child Decision Trees Sensitivity and Specificity ROC Curve Data Mining Electronic Health Records Male Female Infant Hospitalization Adolescent
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Interpretable Deep Models for ICU Outcome Prediction.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Exponential surge in health care data, such as longitudinal data from electronic health records (EHR), sensor data from intensive care unit (ICU), etc., is providing new opportunities to discover meaningful data-driven characteristics and patterns of...
Machine Learning Computer Simulation Humans Neural Networks, Computer Prognosis Models, Theoretical Electronic Health Records Acute Lung Injury Intensive Care Units, Pediatric
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An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 10, 2017
Molecular genetics laboratory reports are multiplying and increasingly of clinical importance in diagnosis and treatment of cancer, infectious disease and managing of public health. Little of this data is structured or maintained in the EHR in format...
Biomarkers, Tumor Models, Theoretical Logical Observation Identifiers Names and Codes Molecular Biology Systematized Nomenclature of Medicine Gene Ontology Humans
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Effect of body weight support variation on muscle activities during robot assisted gait: a dynamic simulation study.

Computer methods in biomechanics and biomedical engineering Feb 9, 2017
BACKGROUND AND OBJECTIVES: While body weight support (BWS) intonation is vital during conventional gait training of neurologically challenged subjects, it is important to evaluate its effect during robot assisted gait training. In the present researc...
Humans Computer Simulation Biomechanical Phenomena Knee Joint Gait Body Weight Torque Models, Theoretical Muscle, Skeletal Robotics Hip Joint Ankle Joint Orthotic Devices
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Objective Assessment of Endovascular Navigation Skills with Force Sensing.

Annals of biomedical engineering Feb 8, 2017
Despite the increasing popularity of endovascular intervention in clinical practice, there remains a lack of objective and quantitative metrics for skill evaluation of endovascular techniques. Data relating to the forces exerted during endovascular p...
Support Vector Machine Humans Motion Clinical Competence Models, Theoretical Endovascular Procedures Catheterization
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Machine learning based compartment models with permeability for white matter microstructure imaging.

NeuroImage Feb 8, 2017
Some microstructure parameters, such as permeability, remain elusive because mathematical models that express their relationship to the MR signal accurately are intractable. Here, we propose to use computational models learned from simulations to est...
Monte Carlo Method Computer Simulation Humans Permeability White Matter Machine Learning Female Middle Aged Adult Echo-Planar Imaging Multiple Sclerosis Young Adult Brain Models, Theoretical Male Image Interpretation, Computer-Assisted
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Automatic ICD-10 multi-class classification of cause of death from plaintext autopsy reports through expert-driven feature selection.

PloS one Feb 6, 2017
OBJECTIVES: Widespread implementation of electronic databases has improved the accessibility of plaintext clinical information for supplementary use. Numerous machine learning techniques, such as supervised machine learning approaches or ontology-bas...
Death Autopsy International Classification of Diseases Algorithms Databases, Factual Clinical Decision-Making Models, Theoretical Support Vector Machine Cause of Death Humans
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A Novel Multilevel-SVD Method to Improve Multistep Ahead Forecasting in Traffic Accidents Domain.

Computational intelligence and neuroscience Feb 5, 2017
Here is proposed a novel method for decomposing a nonstationary time series in components of low and high frequency. The method is based on Multilevel Singular Value Decomposition (MSVD) of a Hankel matrix. The decomposition is used to improve the fo...
Accidents, Traffic Neural Networks, Computer Wavelet Analysis Humans Forecasting Models, Theoretical
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