AIMC Topic: Sensitivity and Specificity

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Comparison of Classifier Architectures for Online Neural Spike Sorting.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 19, 2016
High-density, intracranial recordings from micro-electrode arrays need to undergo Spike Sorting in order to associate the recorded neuronal spikes to particular neurons. This involves spike detection, feature extraction, and classification. To reduce...
Humans Machine Learning Neurons Pattern Recognition, Automated Nerve Net Online Systems Computer Simulation Reproducibility of Results Computer Systems Sensitivity and Specificity Models, Neurological Action Potentials Models, Statistical Animals
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Correlation of Serum Cystatin C with Glomerular Filtration Rate in Patients Receiving Platinum-Based Chemotherapy.

Analytical cellular pathology (Amsterdam) Dec 18, 2016
. Serum cystatin C seems to be an accurate marker of glomerular filtration rate (GFR) compared to serum creatinine. The aim of this work was to explore the possibility of using serum cystatin C instead of serum creatinine to early predict renal failu...
Middle Aged Cystatin C Renal Insufficiency Neoplasms Humans Aged Creatinine Antineoplastic Combined Chemotherapy Protocols Biomarkers Adult Cisplatin Glomerular Filtration Rate Prognosis Sensitivity and Specificity Female Male Carboplatin
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Application of Machine Learning in Postural Control Kinematics for the Diagnosis of Alzheimer's Disease.

Computational intelligence and neuroscience Dec 18, 2016
The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the di...
Humans Posture Female Biomechanical Phenomena Neural Networks, Computer Postural Balance Aged Male Alzheimer Disease Machine Learning Aged, 80 and over Diagnosis, Computer-Assisted Sensitivity and Specificity Psychiatric Status Rating Scales
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Improving diagnostic recognition of primary hyperparathyroidism with machine learning.

Surgery Dec 15, 2016
BACKGROUND: Parathyroidectomy offers the only cure for primary hyperparathyroidism, but today only 50% of primary hyperparathyroidism patients are referred for operation, in large part, because the condition is widely under-recognized. The diagnosis ...
Machine Learning Algorithms Databases, Factual Female Humans Parathyroid Hormone Parathyroidectomy Quality Improvement Case-Control Studies Hyperparathyroidism, Primary Sensitivity and Specificity ROC Curve Male Predictive Value of Tests Middle Aged Bayes Theorem Severity of Illness Index
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Representation Learning Based Speech Assistive System for Persons With Dysarthria.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 13, 2016
An assistive system for persons with vocal impairment due to dysarthria converts dysarthric speech to normal speech or text. Because of the articulatory deficits, dysarthric speech recognition needs a robust learning technique. Representation learnin...
Sensitivity and Specificity Treatment Outcome Pattern Recognition, Automated Speech Intelligibility Humans Machine Learning Algorithms Reproducibility of Results Dysarthria Communication Devices for People with Disabilities Speech Production Measurement
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Morphological classification of odontogenic keratocysts using Bouligand-Minkowski fractal descriptors.

Computers in biology and medicine Dec 8, 2016
The Odontogenic keratocyst (OKC) is a cystic lesion of the jaws, which has high growth and recurrence rates compared to other cysts of the jaws (for instance, radicular cyst, which is the most common jaw cyst type). For this reason OKCs are considere...
Machine Learning Reproducibility of Results Sensitivity and Specificity Microscopy Image Interpretation, Computer-Assisted Pattern Recognition, Automated Fractals Odontogenic Cysts Humans
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Development of Type 2 Diabetes Mellitus Phenotyping Framework Using Expert Knowledge and Machine Learning Approach.

Journal of diabetes science and technology Dec 7, 2016
BACKGROUND: Phenotyping is an automated technique that can be used to distinguish patients based on electronic health records. To improve the quality of medical care and advance type 2 diabetes mellitus (T2DM) research, the demand for T2DM phenotypin...
ROC Curve Diabetes Mellitus, Type 2 Support Vector Machine Area Under Curve Humans Phenotype Electronic Health Records Sensitivity and Specificity
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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...
Practice Guidelines as Topic Monitoring, Ambulatory Pattern Recognition, Automated Sensitivity and Specificity Diagnosis, Computer-Assisted Metabolic Syndrome Europe Humans Machine Learning Algorithms Reproducibility of Results
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Using clinical information to make individualized prognostic predictions in people at ultra high risk for psychosis.

Schizophrenia research Dec 4, 2016
Recent studies have reported an association between psychopathology and subsequent clinical and functional outcomes in people at ultra-high risk (UHR) for psychosis. This has led to the suggestion that psychopathological information could be used to ...
Humans Prognosis Female Young Adult Follow-Up Studies Adult Psychotic Disorders Sensitivity and Specificity Outcome Assessment, Health Care Male Victoria Support Vector Machine
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Kinesthetic Feedback During 2DOF Wrist Movements via a Novel MR-Compatible Robot.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Dec 1, 2016
We demonstrate the interaction control capabilities of the MR-SoftWrist, a novel MR-compatible robot capable of applying accurate kinesthetic feedback to wrist pointing movements executed during fMRI. The MR-SoftWrist, based on a novel design that co...
Equipment Failure Analysis Movement Man-Machine Systems Feedback, Sensory Wrist Joint Kinesthesis Magnetic Resonance Imaging Robotics Equipment Design Humans Range of Motion, Articular Reproducibility of Results Adult Sensitivity and Specificity Male
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