AIMC Topic: Algorithms

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Automatic detection of diffusion modes within biological membranes using back-propagation neural network.

BMC bioinformatics May 4, 2016
BACKGROUND: Single particle tracking (SPT) is nowadays one of the most popular technique to probe spatio-temporal dynamics of proteins diffusing within the plasma membrane. Indeed membrane components of eukaryotic cells are very dynamic molecules and...
Motion Cell Membrane Algorithms Models, Biological Diffusion Neural Networks, Computer
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Liver vessel segmentation based on extreme learning machine.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 4, 2016
Liver-vessel segmentation plays an important role in vessel structure analysis for liver surgical planning. This paper presents a liver-vessel segmentation method based on extreme learning machine (ELM). Firstly, an anisotropic filter is used to remo...
Radiography, Abdominal Anisotropy Tomography, X-Ray Computed Imaging, Three-Dimensional Reproducibility of Results Diffusion Image Processing, Computer-Assisted Sensitivity and Specificity Radiotherapy Planning, Computer-Assisted Liver Humans False Positive Reactions Machine Learning Algorithms
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DiscMLA: An Efficient Discriminative Motif Learning Algorithm over High-Throughput Datasets.

IEEE/ACM transactions on computational biology and bioinformatics May 3, 2016
The transcription factors (TFs) can activate or suppress gene expression by binding to specific sites, hence are crucial regulatory elements for transcription. Recently, series of discriminative motif finders have been tailored to offering promising ...
Transcription Factors Databases, Genetic Humans Sequence Analysis, DNA Algorithms Machine Learning Chromatin Immunoprecipitation Area Under Curve Cell Line, Tumor High-Throughput Nucleotide Sequencing Computational Biology Nucleotide Motifs
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Cascaded Adaptation Framework for Fast Calibration of Myoelectric Control.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society May 3, 2016
In spite of several decades of intensive research and development, the existing algorithms of myoelectric pattern recognition (MPR) are yet to make significant clinical and commercial impact. This study focuses on the one of the limiting factors of c...
Amputation Stumps Calibration Muscle Contraction Games, Experimental Young Adult Machine Learning Discriminant Analysis Sensitivity and Specificity Algorithms Electromyography Male Reproducibility of Results Pattern Recognition, Automated Humans
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Pattern Classification of Instantaneous Cognitive Task-load Through GMM Clustering, Laplacian Eigenmap, and Ensemble SVMs.

IEEE/ACM transactions on computational biology and bioinformatics May 3, 2016
The identification of the temporal variations in human operator cognitive task-load (CTL) is crucial for preventing possible accidents in human-machine collaborative systems. Recent literature has shown that the change of discrete CTL level during hu...
Cognition Support Vector Machine Cluster Analysis Electroencephalography Workload Pattern Recognition, Automated Humans Software Adult Task Performance and Analysis Machine Learning Algorithms Male Psychophysics Young Adult Computational Biology
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A hybrid gene selection approach for microarray data classification using cellular learning automata and ant colony optimization.

Genomics May 3, 2016
This paper proposes an approach for gene selection in microarray data. The proposed approach consists of a primary filter approach using Fisher criterion which reduces the initial genes and hence the search space and time complexity. Then, a wrapper ...
Algorithms Support Vector Machine Cluster Analysis Data Interpretation, Statistical Oligonucleotide Array Sequence Analysis Humans Machine Learning
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Machine-Learning-Based Prediction of a Missed Scheduled Clinical Appointment by Patients With Diabetes.

Journal of diabetes science and technology May 3, 2016
BACKGROUND: About 10% of patients with diabetes discontinue treatment, resulting in the progression of diabetes-related complications and reduced quality of life.
Machine Learning Algorithms Female Humans Male ROC Curve Diabetes Mellitus Logistic Models Area Under Curve No-Show Patients
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Parsimonious kernel extreme learning machine in primal via Cholesky factorization.

Neural networks : the official journal of the International Neural Network Society May 2, 2016
Recently, extreme learning machine (ELM) has become a popular topic in machine learning community. By replacing the so-called ELM feature mappings with the nonlinear mappings induced by kernel functions, two kernel ELMs, i.e., P-KELM and D-KELM, are ...
Artificial Intelligence Machine Learning Algorithms
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A note on the weight of inverse complexity in improved hybrid genetic algorithm.

Journal of medical systems May 2, 2016
Humans Male Diagnosis, Computer-Assisted Models, Genetic Neural Networks, Computer Algorithms Female
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Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis.

PloS one May 2, 2016
OBJECTIVES: 1) To use data-driven method to examine clinical codes (risk factors) of a medical condition in primary care electronic health records (EHRs) that can accurately predict a diagnosis of the condition in secondary care EHRs. 2) To develop a...
Antirheumatic Agents Electronic Health Records Humans Primary Health Care Machine Learning Algorithms Arthritis, Rheumatoid
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