AIMC Topic: Models, Statistical

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In silico prediction of anti-malarial hit molecules based on machine learning methods.

International journal of computational biology and drug design Apr 13, 2015
Machine learning techniques have been widely used in drug discovery and development in the areas of cheminformatics. Aspartyl aminopeptidase (M18AAP) of Plasmodium falciparum is crucial for survival of malaria parasite. We have created predictive mod...
Models, Statistical Models, Molecular Antimalarials Artificial Intelligence Computer Simulation Drug Discovery
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Computer-aided lung nodule recognition by SVM classifier based on combination of random undersampling and SMOTE.

Computational and mathematical methods in medicine Apr 6, 2015
In lung cancer computer-aided detection/diagnosis (CAD) systems, classification of regions of interest (ROI) is often used to detect/diagnose lung nodule accurately. However, problems of unbalanced datasets often have detrimental effects on the perfo...
Radiographic Image Interpretation, Computer-Assisted Pattern Recognition, Automated Imaging, Three-Dimensional Cluster Analysis Humans Tomography, X-Ray Computed Lung Neoplasms Solitary Pulmonary Nodule Algorithms Reproducibility of Results Support Vector Machine Models, Statistical Diagnosis, Computer-Assisted
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Screening Internet forum participants for depression symptoms by assembling and enhancing multiple NLP methods.

Computer methods and programs in biomedicine Apr 1, 2015
Depression is a disease that can dramatically lower quality of life. Symptoms of depression can range from temporary sadness to suicide. Embarrassment, shyness, and the stigma of depression are some of the factors preventing people from getting help ...
Depression Surveys and Questionnaires Psychometrics Quality of Life Diagnosis, Computer-Assisted Psychiatric Status Rating Scales Natural Language Processing Internet Observer Variation Emotions Models, Statistical Social Media Humans Language Algorithms Female Computer Simulation Male
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Diagnosis of Malignancy in Thyroid Tumors by Multi-Layer Perceptron Neural Networks With Different Batch Learning Algorithms.

Global journal of health science Mar 30, 2015
To diagnose the malignancy in thyroid tumor, neural network approach is applied and the performances of thirteen batch learning algorithms are investigated on accuracy of the prediction. Therefore, a back propagation feed forward neural networks (BP ...
Humans Neural Networks, Computer Algorithms Thyroid Neoplasms Models, Statistical Female Adult Male
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ACOustic: A Nature-Inspired Exploration Indicator for Ant Colony Optimization.

TheScientificWorldJournal Mar 30, 2015
A statistical machine learning indicator, ACOustic, is proposed to evaluate the exploration behavior in the iterations of ant colony optimization algorithms. This idea is inspired by the behavior of some parasites in their mimicry to the queens' acou...
Algorithms Animals Ants Models, Statistical Machine Learning Behavior, Animal
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A stochastic model for detecting overlapping and hierarchical community structure.

PloS one Mar 30, 2015
Community detection is a fundamental problem in the analysis of complex networks. Recently, many researchers have concentrated on the detection of overlapping communities, where a vertex may belong to more than one community. However, most current me...
Neural Networks, Computer Algorithms Models, Statistical Stochastic Processes
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Learning document semantic representation with hybrid deep belief network.

Computational intelligence and neuroscience Mar 23, 2015
High-level abstraction, for example, semantic representation, is vital for document classification and retrieval. However, how to learn document semantic representation is still a topic open for discussion in information retrieval and natural languag...
Information Storage and Retrieval Semantics Algorithms Models, Statistical Natural Language Processing Neural Networks, Computer
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An adaptive Hidden Markov model for activity recognition based on a wearable multi-sensor device.

Journal of medical systems Mar 19, 2015
Human activity recognition is important in the study of personal health, wellness and lifestyle. In order to acquire human activity information from the personal space, many wearable multi-sensor devices have been developed. In this paper, a novel te...
Humans Models, Statistical Markov Chains Monitoring, Ambulatory Machine Learning Algorithms
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Designing responsive pattern generators: stable heteroclinic channel cycles for modeling and control.

Bioinspiration & biomimetics Feb 25, 2015
A striking feature of biological pattern generators is their ability to respond immediately to multisensory perturbations by modulating the dwell time at a particular phase of oscillation, which can vary force output, range of motion, or other charac...
Biomimetics Feedback, Physiological Central Pattern Generators Computer Simulation Animals Models, Neurological Action Potentials Models, Statistical Neurons Humans Neural Networks, Computer
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Multi-scale textural feature extraction and particle swarm optimization based model selection for false positive reduction in mammography.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Feb 24, 2015
The high number of false positives and the resulting number of avoidable breast biopsies are the major problems faced by current mammography Computer Aided Detection (CAD) systems. False positive reduction is not only a requirement for mass but also ...
Radiographic Image Enhancement Pattern Recognition, Automated False Positive Reactions Sensitivity and Specificity Breast Neoplasms Support Vector Machine Models, Statistical Mammography Radiographic Image Interpretation, Computer-Assisted Computer Simulation Humans Female Algorithms Reproducibility of Results
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