AIMC Topic: Datasets as Topic

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[Big data, medical language and biomedical terminology systems].

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz Aug 1, 2015
A variety of rich terminology systems, such as thesauri, classifications, nomenclatures and ontologies support information and knowledge processing in health care and biomedical research. Nevertheless, human language, manifested as individually writt...
Natural Language Processing Data Accuracy Datasets as Topic Terminology as Topic Medical Record Linkage Vocabulary, Controlled Information Storage and Retrieval Biological Ontologies Germany
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Automatic learning-based beam angle selection for thoracic IMRT.

Medical physics Apr 1, 2015
PURPOSE: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Int...
Radiotherapy Planning, Computer-Assisted Datasets as Topic Pattern Recognition, Automated Lung Neoplasms Regression Analysis Radiotherapy Dosage Radiotherapy, Intensity-Modulated Thorax Humans Machine Learning Algorithms Tomography, X-Ray Computed
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Models for predicting objective function weights in prostate cancer IMRT.

Medical physics Apr 1, 2015
PURPOSE: To develop and evaluate the clinical applicability of advanced machine learning models that simultaneously predict multiple optimization objective function weights from patient geometry for intensity-modulated radiation therapy of prostate c...
Humans Machine Learning Retrospective Studies Urinary Bladder Photons Organs at Risk Radiotherapy Planning, Computer-Assisted Datasets as Topic Radiotherapy Dosage Radiotherapy, Intensity-Modulated Prostatic Neoplasms Prostate Rectum Male Logistic Models
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Scaling up graph-based semisupervised learning via prototype vector machines.

IEEE transactions on neural networks and learning systems Mar 1, 2015
When the amount of labeled data are limited, semisupervised learning can improve the learner's performance by also using the often easily available unlabeled data. In particular, a popular approach requires the learned function to be smooth on the un...
Pattern Recognition, Automated Support Vector Machine Supervised Machine Learning Datasets as Topic
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Real-time Pedestrian Crossing Recognition for Assistive Outdoor Navigation.

Studies in health technology and informatics Jan 1, 2015
Navigation in urban environments can be difficult for people who are blind or visually impaired. In this project, we present a system and algorithms for recognizing pedestrian crossings in outdoor environments. Our goal is to provide navigation cues ...
Cloud Computing Blindness Software Design Imaging, Three-Dimensional Cues Humans Algorithms Vision Disorders Urban Population Datasets as Topic Artificial Intelligence Robotics Wearable Electronic Devices Pedestrians Computer Systems
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Analyzing data from a fuzzy rating scale-based questionnaire. A case study.

Psicothema Jan 1, 2015
BACKGROUND: The fuzzy rating scale was introduced to cope with the imprecision of human thought and experience in measuring attitudes in many fields of Psychology. The flexibility and expressiveness of this scale allow us to properly describe the ans...
Surveys and Questionnaires Attitude Humans Child Psychology, Child Datasets as Topic Female Fuzzy Logic Thinking Male
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Computer-based prediction of mitochondria-targeting peptides.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Computational methods are invaluable when protein sequences, directly derived from genomic data, need functional and structural annotation. Subcellular localization is a feature necessary for understanding the protein role and the compartment where t...
Artificial Intelligence Peptides Genomics Computational Biology Internet Humans Models, Biological Mitochondria Datasets as Topic Protein Transport Mitochondrial Proteins
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Feature selection using a neural framework with controlled redundancy.

IEEE transactions on neural networks and learning systems Jan 1, 2015
We first present a feature selection method based on a multilayer perceptron (MLP) neural network, called feature selection MLP (FSMLP). We explain how FSMLP can select essential features and discard derogatory and indifferent features. Such a method...
Datasets as Topic Perception Humans Neural Networks, Computer Decision Support Techniques Artificial Intelligence Computer Simulation Learning
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