AIMC Topic: Pattern Recognition, Automated

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[Comparison of ICD 10 and AIS with the Development of a Method for Automated Conversion].

Zeitschrift fur Orthopadie und Unfallchirurgie Oct 15, 2015
BACKGROUND: Most of the current scores and outcome prediction calculations in traumatology are based on the Abbreviated Injury Scale (AIS). However, this is not routinely used for documentation and coding of injuries in many countries, including Germ...
Pattern Recognition, Automated International Classification of Diseases Forms and Records Control Trauma Severity Indices Algorithms Natural Language Processing Information Storage and Retrieval
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Real time unsupervised learning of visual stimuli in neuromorphic VLSI systems.

Scientific reports Oct 14, 2015
Neuromorphic chips embody computational principles operating in the nervous system, into microelectronic devices. In this domain it is important to identify computational primitives that theory and experiments suggest as generic and reusable cognitiv...
Humans Neural Networks, Computer Animals Computer Systems Image Interpretation, Computer-Assisted Pattern Recognition, Automated Equipment Failure Analysis Photic Stimulation Visual Perception Unsupervised Machine Learning Equipment Design Signal Processing, Computer-Assisted Biomimetics
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Building integrated ontological knowledge structures with efficient approximation algorithms.

BioMed research international Oct 13, 2015
The integration of ontologies builds knowledge structures which brings new understanding on existing terminologies and their associations. With the steady increase in the number of ontologies, automatic integration of ontologies is preferable over ma...
Systems Integration Information Storage and Retrieval Database Management Systems Machine Learning Biological Ontologies Algorithms Pattern Recognition, Automated Databases, Factual Terminology as Topic Natural Language Processing
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Information extraction from multi-institutional radiology reports.

Artificial intelligence in medicine Oct 3, 2015
OBJECTIVES: The radiology report is the most important source of clinical imaging information. It documents critical information about the patient's health and the radiologist's interpretation of medical findings. It also communicates information to ...
Humans Machine Learning Databases, Factual Electronic Health Records Reproducibility of Results Information Storage and Retrieval Semantics Pattern Recognition, Automated Radiology Information Systems Medical Record Linkage Discriminant Analysis Radiographic Image Interpretation, Computer-Assisted Data Mining Observer Variation United States Models, Theoretical Predictive Value of Tests Natural Language Processing
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METSP: a maximum-entropy classifier based text mining tool for transporter-substrate identification with semistructured text.

BioMed research international Oct 1, 2015
The substrates of a transporter are not only useful for inferring function of the transporter, but also important to discover compound-compound interaction and to reconstruct metabolic pathway. Though plenty of data has been accumulated with the deve...
Pattern Recognition, Automated Membrane Transport Proteins Algorithms Machine Learning Vocabulary, Controlled Software Natural Language Processing Entropy Metabolic Networks and Pathways Data Mining
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Telemedicine as a special case of machine translation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Sep 30, 2015
Machine translation is evolving quite rapidly in terms of quality. Nowadays, we have several machine translation systems available in the web, which provide reasonable translations. However, these systems are not perfect, and their quality may decrea...
Machine Learning Algorithms Electronic Health Records Poland Translating Natural Language Processing Telemedicine Pattern Recognition, Automated Vocabulary, Controlled
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A context-aware approach for progression tracking of medical concepts in electronic medical records.

Journal of biomedical informatics Sep 30, 2015
Electronic medical records (EMRs) for diabetic patients contain information about heart disease risk factors such as high blood pressure, cholesterol levels, and smoking status. Discovering the described risk factors and tracking their progression ov...
Humans Electronic Health Records Female Aged Male Cardiovascular Diseases Incidence Cohort Studies Narration Longitudinal Studies Natural Language Processing Middle Aged Taiwan Confidentiality Risk Assessment Data Mining Pattern Recognition, Automated Disease Progression Vocabulary, Controlled Computer Security Comorbidity Diabetes Complications
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Cytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study.

Nanomedicine : nanotechnology, biology, and medicine Sep 25, 2015
Predicting the size and toxicity of chitosan/streptokinase nanoparticles at various values of processing parameters was the aim of this study. For the first time, a comprehensive model could be developed to determine the cytotoxicity of the nanoparti...
Hydrogen-Ion Concentration Drug Evaluation, Preclinical Nanocomposites Pattern Recognition, Automated Toxicity Tests Streptokinase Cell Survival Chitosan Particle Size Structure-Activity Relationship Algorithms Reproducibility of Results Sensitivity and Specificity Dose-Response Relationship, Drug Neural Networks, Computer
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Hidden Markov model using Dirichlet process for de-identification.

Journal of biomedical informatics Sep 25, 2015
For the 2014 i2b2/UTHealth de-identification challenge, we introduced a new non-parametric Bayesian hidden Markov model using a Dirichlet process (HMM-DP). The model intends to reduce task-specific feature engineering and to generalize well to new da...
Natural Language Processing Confidentiality Data Mining Markov Chains Electronic Health Records Cohort Studies Models, Statistical Narration Pattern Recognition, Automated Computer Security Vocabulary, Controlled Newfoundland and Labrador Machine Learning Computer Simulation
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iTIS-PseKNC: Identification of Translation Initiation Site in human genes using pseudo k-tuple nucleotides composition.

Computers in biology and medicine Sep 25, 2015
Translation is an essential genetic process for understanding the mechanism of gene expression. Due to the large number of protein sequences generated in the post-genomic era, conventional methods are unable to identify Translation Initiation Site (T...
Pattern Recognition, Automated Peptide Chain Initiation, Translational Support Vector Machine Sequence Analysis, DNA Nucleotides Probability Software Algorithms Humans Reproducibility of Results Neural Networks, Computer Genomics Machine Learning
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