AIMC Topic: Pattern Recognition, Automated

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Label-aligned multi-task feature learning for multimodal classification of Alzheimer's disease and mild cognitive impairment.

Brain imaging and behavior Dec 1, 2016
Multimodal classification methods using different modalities of imaging and non-imaging data have recently shown great advantages over traditional single-modality-based ones for diagnosis and prognosis of Alzheimer's disease (AD), as well as its prod...
ROC Curve Multimodal Imaging Radiopharmaceuticals Disease Progression Cognitive Dysfunction Humans Pattern Recognition, Automated Machine Learning Fluorodeoxyglucose F18 Databases, Factual Neuroimaging Alzheimer Disease Brain Positron-Emission Tomography Prognosis Image Interpretation, Computer-Assisted Aged
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Health informatics to optimize complex laboratory developed test configurations.

Technology and health care : official journal of the European Society for Engineering and Medicine Nov 14, 2016
BACKGROUND: Configuration of complex Laboratory Developed Tests (LDTs) is a time-consuming and complicated task, potentially leading to inconsistent LDTs in which features constraints remain unresolved and important features could remain unselected.
Humans Artificial Intelligence Pakistan Medical Informatics Pattern Recognition, Automated Algorithms Biomedical Research
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Automated classification of pathological gait after stroke using ubiquitous sensing technology.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
This study uses machine learning methods to distinguish between healthy and pathological gait. Examples of multi-dimensional pathological and normal gait sequences were collected from post-stroke and healthy individuals in a real clinical setting and...
Stroke Humans Gait Algorithms Pattern Recognition, Automated
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A hybrid rule and machine learning based generic alerting platform for smart environments.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Existing smart environment based alert solutions have adopted a relatively complex and tailored approach to supporting individuals. These solutions have involved sensor based monitoring, activity recognition and assistance provisioning. Traditionally...
Human Activities Humans Machine Learning Software Monitoring, Physiologic Pattern Recognition, Automated
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An automated bladder volume measurement algorithm by pixel classification using random forests.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
Residual bladder volume measurement is a very important marker for patients with urinary retention problems. To be able to monitor patients with these conditions at the bedside by nurses or in an out patient setting by general physicians, hand held u...
Algorithms Organ Size Urinary Bladder Ultrasonography Pattern Recognition, Automated Image Processing, Computer-Assisted Humans Urinary Retention
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Appointments and Schedules Pattern Recognition, Automated Hospital Information Systems Radiology, Interventional X-Rays Hospitals Machine Learning Humans Support Vector Machine Algorithms Neural Networks, Computer Decision Trees
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Fetal facial standard plane recognition via very deep convolutional networks.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
The accurate recognition of fetal facial standard plane (FFSP) (i.e., axial, coronal and sagittal plane) from ultrasound (US) images is quite essential for routine US examination. Since the labor-intensive and subjective measurement is too time-consu...
Humans Neural Networks, Computer Learning Fetus Ultrasonography, Prenatal Face Pattern Recognition, Automated
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Using ordinal partition transition networks to analyze ECG data.

Chaos (Woodbury, N.Y.) Jul 1, 2016
Electrocardiogram (ECG) data from patients with a variety of heart conditions are studied using ordinal pattern partition networks. The ordinal pattern partition networks are formed from the ECG time series by symbolizing the data into ordinal patter...
Humans Pattern Recognition, Automated Models, Cardiovascular Neural Networks, Computer Female Databases, Factual Male Electrocardiography
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Classifying Schizophrenia Using Multimodal Multivariate Pattern Recognition Analysis: Evaluating the Impact of Individual Clinical Profiles on the Neurodiagnostic Performance.

Schizophrenia bulletin Jul 1, 2016
Previous studies have shown that structural brain changes are among the best-studied candidate markers for schizophrenia (SZ) along with functional connectivity (FC) alterations of resting-state (RS) patterns. This study aimed to investigate effects ...
Connectome Magnetic Resonance Imaging Schizophrenia Pattern Recognition, Automated Middle Aged Humans Support Vector Machine Female Adult Male
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Medical ultrasound diagnosis in the near future as we move toward the era of the singularity.

Journal of medical ultrasonics (2001) Jul 1, 2016
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Artificial Intelligence Ultrasonography Imaging, Three-Dimensional Telemedicine
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