AIMC Topic: Algorithms

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Dynamic feature selection applied to the recognition of grasping movements in the control of bioprosthetic hand.

Studies in health technology and informatics Jan 1, 2015
The paper presents novel method of dynamic feature selection (DFS) and its application in the problem of recognition of patient intent in the bioprosthesis control system. In the proposed approach features are selected dynamically, i.e. separately fo...
Robotics Hand Electromyography Pattern Recognition, Automated Algorithms Neurofeedback Humans Feedback Bioprosthesis Machine Learning Hand Strength
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Planning, execution and monitoring of physical rehabilitation therapies with a robotic architecture.

Studies in health technology and informatics Jan 1, 2015
Traditional methods of rehabilitation require continuous attention of therapists during the therapy sessions. This is a hard and expensive task in terms of time and effort. In many cases, the therapeutic objectives cannot be achieved due to the overw...
Diagnosis, Computer-Assisted Robotics Therapy, Computer-Assisted Machine Learning Algorithms Physical Therapy Modalities Patient Care Planning Rehabilitation
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A new approach for cleansing geographical dataset using Levenshtein distance, prior knowledge and contextual information.

Studies in health technology and informatics Jan 1, 2015
Epidemiological studies are necessary to take public health decisions. Their relevance depends on the quality of data. Doctors in continuous care collect a big amount of data that can be used for epidemiological purpose, but spatial data may be dirty...
France Topography, Medical Information Storage and Retrieval Semantics Pattern Recognition, Automated Machine Learning Natural Language Processing Algorithms Data Accuracy Databases, Factual
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A methodology for mining clinical data: experiences from TRANSFoRm project.

Studies in health technology and informatics Jan 1, 2015
Data mining of electronic health records (eHRs) allows us to identify patterns of patient data that characterize diseases and their progress and learn best practices for treatment and diagnosis. Clinical Prediction Rules (CPRs) are a form of clinical...
Machine Learning Algorithms Electronic Health Records Natural Language Processing Decision Support Systems, Clinical Data Mining
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Prediction of Heart Attack Risk Using GA-ANFIS Expert System Prototype.

Studies in health technology and informatics Jan 1, 2015
The aim of this research is to develop a novel GA-ANFIS expert system prototype for classifying heart disease degree of a patient by using heart diseases attributes (features) and diagnoses taken in the real conditions. Thirteen attributes have been ...
Expert Systems Myocardial Infarction Technology Assessment, Biomedical Algorithms Reproducibility of Results Sensitivity and Specificity Humans Diagnosis, Computer-Assisted Machine Learning Decision Support Systems, Clinical Fuzzy Logic Software
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Supervised machine learning algorithms to diagnose stress for vehicle drivers based on physiological sensor signals.

Studies in health technology and informatics Jan 1, 2015
Machine learning algorithms play an important role in computer science research. Recent advancement in sensor data collection in clinical sciences lead to a complex, heterogeneous data processing, and analysis for patient diagnosis and prognosis. Dia...
Monitoring, Ambulatory Body Temperature Heart Rate Automobile Driving Artificial Intelligence Machine Learning Algorithms Sensitivity and Specificity Stress, Psychological Support Vector Machine Humans Neural Networks, Computer
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[Comparative efficiency of algorithms based on support vector machines for binary classification].

Biofizika Jan 1, 2015
Methods of construction of support vector machines require no further a priori infoimation and provide big data processing, what is especially important for various problems in computational biology. The question of the quality of learning algorithms...
Algorithms Models, Theoretical Support Vector Machine
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An integrated machine-learning model to predict prokaryotic essential genes.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2015
Essential genes are indispensable for the target organism's survival. Large-scale identification and characterization of essential genes has shown to be beneficial in both fundamental biology and medicine fields. Current existing genome-scale experim...
Algorithms Genomics Models, Theoretical Artificial Intelligence Genes, Essential Genes, Bacterial
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Compensating for the effects of site and equipment variation on delphinid species identification from their echolocation clicks.

The Journal of the Acoustical Society of America Jan 1, 2015
A concern for applications of machine learning techniques to bioacoustics is whether or not classifiers learn the categories for which they were trained. Unfortunately, information such as characteristics of specific recording equipment or noise envi...
Subtraction Technique Sound Spectrography Dolphins Transducers Echolocation Normal Distribution Pattern Recognition, Automated Machine Learning Species Specificity Fourier Analysis Algorithms Animals Monte Carlo Method Pacific Ocean
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Advances in protein contact map prediction based on machine learning.

Medicinal chemistry (Shariqah (United Arab Emirates)) Jan 1, 2015
A protein contact map is a simplified, two-dimensional version of the three-dimensional protein structure. Protein contact map is proved to be crucial in forming the three-dimensional structure. Contact map prediction has now become an indispensable ...
Computational Biology Proteins Neural Networks, Computer Protein Conformation Machine Learning Algorithms
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