AIMC Topic: Diagnosis, Computer-Assisted

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COMPOSE: Using temporal patterns for interpreting wearable sensor data with computer interpretable guidelines.

Computers in biology and medicine Dec 5, 2016
This paper describes a novel temporal logic-based framework for reasoning with continuous data collected from wearable sensors. The work is motivated by the Metabolic Syndrome, a cluster of conditions which are linked to obesity and unhealthy lifesty...
Humans Metabolic Syndrome Europe Practice Guidelines as Topic Monitoring, Ambulatory Pattern Recognition, Automated Machine Learning Algorithms Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted
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Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier.

Computational and mathematical methods in medicine Nov 30, 2016
A proposed real coded genetic algorithm based radial basis function neural network classifier is employed to perform effective classification of healthy and cancer affected lung images. Real Coded Genetic Algorithm (RCGA) is proposed to overcome the ...
Humans Tomography, X-Ray Computed Diagnosis, Computer-Assisted Probability Neural Networks, Computer Female Lung Neoplasms Pattern Recognition, Automated Algorithms Reproducibility of Results Genotype Normal Distribution Databases, Factual Male Models, Statistical Lung
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Noninvasive Personalization of a Cardiac Electrophysiology Model From Body Surface Potential Mapping.

IEEE transactions on bio-medical engineering Nov 16, 2016
GOAL: We use noninvasive data (body surface potential mapping, BSPM) to personalize the main parameters of a cardiac electrophysiological (EP) model for predicting the response to different pacing conditions.
Body Surface Potential Mapping Humans Sensitivity and Specificity Algorithms Diagnosis, Computer-Assisted Computer Simulation Patient-Centered Care Reproducibility of Results Heart Conduction System Models, Cardiovascular
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A Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial.

Suicide & life-threatening behavior Nov 3, 2016
Death by suicide demonstrates profound personal suffering and societal failure. While basic sciences provide the opportunity to understand biological markers related to suicide, computer science provides opportunities to understand suicide thought ma...
Adolescent Suicide Prevention Suicidal Ideation Suicide Female Humans Adult Artificial Intelligence Male Machine Learning Diagnosis, Computer-Assisted Prospective Studies Prognosis
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Automatic segmentation of airway tree based on local intensity filter and machine learning technique in 3D chest CT volume.

International journal of computer assisted radiology and surgery Oct 28, 2016
PURPOSE: Airway segmentation plays an important role in analyzing chest computed tomography (CT) volumes for computerized lung cancer detection, emphysema diagnosis and pre- and intra-operative bronchoscope navigation. However, obtaining a complete 3...
Bronchi Humans Organ Size Machine Learning Lung Diseases Diagnosis, Computer-Assisted Algorithms Automation Imaging, Three-Dimensional Tomography, X-Ray Computed Thorax Image Processing, Computer-Assisted Lung Support Vector Machine Bronchoscopy
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Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification.

Computational and mathematical methods in medicine Oct 26, 2016
Recently, Deep Learning, especially through Convolutional Neural Networks (CNNs) has been widely used to enable the extraction of highly representative features. This is done among the network layers by filtering, selecting, and using these features ...
Pattern Recognition, Automated Humans Neural Networks, Computer Machine Learning Colonoscopy Software Diagnosis, Computer-Assisted Algorithms Image Processing, Computer-Assisted Reproducibility of Results Colonic Polyps Endoscopy Video Recording
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Application of artificial neural network model combined with four biomarkers in auxiliary diagnosis of lung cancer.

Medical & biological engineering & computing Oct 20, 2016
The purpose of the study was to explore the application of artificial neural network model in the auxiliary diagnosis of lung cancer and compare the effects of back-propagation (BP) neural network with Fisher discrimination model for lung cancer scre...
Humans Neural Networks, Computer Algorithms Female Reproducibility of Results Lung Neoplasms Pattern Recognition, Automated Sensitivity and Specificity Biomarkers, Tumor Male Middle Aged Diagnosis, Computer-Assisted
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Bayesian Nonnegative CP Decomposition-Based Feature Extraction Algorithm for Drowsiness Detection.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Oct 19, 2016
Daytime short nap involves physiological processes, such as alertness, drowsiness and sleep. The study of the relationship between drowsiness and nap based on physiological signals is a great way to have a better understanding of the periodical rhyme...
Electroencephalography Pattern Recognition, Automated Polysomnography Sleep Stages Female Reproducibility of Results Young Adult Adult Sensitivity and Specificity Male Diagnosis, Computer-Assisted Models, Statistical Data Interpretation, Statistical Bayes Theorem Humans Machine Learning Algorithms Computer Simulation
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Hierarchical Classification and System Combination for Automatically Identifying Physiological and Neuromuscular Laryngeal Pathologies.

Journal of voice : official journal of the Voice Foundation Oct 12, 2016
OBJECTIVES: Speech signal processing techniques have provided several contributions to pathologic voice identification, in which healthy and unhealthy voice samples are evaluated. A less common approach is to identify laryngeal pathologies, for which...
Humans Databases, Factual Female Predictive Value of Tests Vocal Cord Paralysis Male Signal Processing, Computer-Assisted Vocal Cords Case-Control Studies Voice Disorders Pattern Recognition, Automated Diagnosis, Computer-Assisted Speech Production Measurement Edema Voice Quality Support Vector Machine Speech Acoustics
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Novel Use of Natural Language Processing (NLP) to Predict Suicidal Ideation and Psychiatric Symptoms in a Text-Based Mental Health Intervention in Madrid.

Computational and mathematical methods in medicine Sep 26, 2016
Natural language processing (NLP) and machine learning were used to predict suicidal ideation and heightened psychiatric symptoms among adults recently discharged from psychiatric inpatient or emergency room settings in Madrid, Spain. Participants re...
Adult Sensitivity and Specificity Male Middle Aged Suicide, Attempted Spain Mental Disorders Diagnosis, Computer-Assisted Predictive Value of Tests Self-Injurious Behavior Female Humans Surveys and Questionnaires Natural Language Processing Text Messaging Reproducibility of Results Psychometrics Machine Learning Patient Discharge Reminder Systems Hospitalization Follow-Up Studies Telemedicine Hospitals, Psychiatric Algorithms Young Adult Mental Health Services
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