AIMC Topic: Sensitivity and Specificity
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Diagnosis of Alzheimer's Disease Using Dual-Tree Complex Wavelet Transform, PCA, and Feed-Forward Neural Network.
Journal of healthcare engineering
Jun 21, 2017
. Error-free diagnosis of Alzheimer's disease (AD) from healthy control (HC) patients at an early stage of the disease is a major concern, because information about the condition's severity and developmental risks present allows AD sufferer to take p...
Principal Component Analysis
Alzheimer Disease
Pattern Recognition, Automated
Female
Sensitivity and Specificity
Case-Control Studies
Humans
Male
Reproducibility of Results
Wavelet Analysis
Diagnosis, Computer-Assisted
Neural Networks, Computer
Middle Aged
Aged
Dementia
Severity of Illness Index
Algorithms
Image Processing, Computer-Assisted
Aged, 80 and over
Brain
Magnetic Resonance Imaging
Natural Language Processing for Asthma Ascertainment in Different Practice Settings.
The journal of allergy and clinical immunology. In practice
Jun 19, 2017
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ascertainment using electronic health records at Mayo Clinic.
A Machine-Learning Algorithm Toward Color Analysis for Chronic Liver Disease Classification, Employing Ultrasound Shear Wave Elastography.
Ultrasound in medicine & biology
Jun 19, 2017
The purpose of the present study was to employ a computer-aided diagnosis system that classifies chronic liver disease (CLD) using ultrasound shear wave elastography (SWE) imaging, with a stiffness value-clustering and machine-learning algorithm. A c...
KAPS (kinematic assessment of passive stretch): a tool to assess elbow flexor and extensor spasticity after stroke using a robotic exoskeleton.
Journal of neuroengineering and rehabilitation
Jun 19, 2017
BACKGROUND: Spasticity is a common sequela of stroke. Traditional assessment methods include relatively coarse scales that may not capture all characteristics of elevated muscle tone. Thus, the aim of this study was to develop a tool to quantitativel...
Fully automatic detection of lung nodules in CT images using a hybrid feature set.
Medical physics
Jun 16, 2017
PURPOSE: The aim of this study was to develop a novel technique for lung nodule detection using an optimized feature set. This feature set has been achieved after rigorous experimentation, which has helped in reducing the false positives significantl...
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.
Scientific reports
Jun 12, 2017
Being a non-histone protein, Ki-67 is one of the essential biomarkers for the immunohistochemical assessment of proliferation rate in breast cancer screening and grading. The Ki-67 signature is always sensitive to radiotherapy and chemotherapy. Due t...
Unsupervised Learning of Spike Patterns for Seizure Detection and Wavefront Estimation of High Resolution Micro Electrocorticographic ( $\mu $ ECoG) Data.
IEEE transactions on nanobioscience
Jun 9, 2017
For the past few years, we have developed flexible, active, and multiplexed recording devices for high resolution recording over large, clinically relevant areas in the brain. While this technology has enabled a much higher-resolution view of the ele...
Premature ventricular contraction detection combining deep neural networks and rules inference.
Artificial intelligence in medicine
Jun 9, 2017
Premature ventricular contraction (PVC), which is a common form of cardiac arrhythmia caused by ectopic heartbeat, can lead to life-threatening cardiac conditions. Computer-aided PVC detection is of considerable importance in medical centers or outpa...
Laboratory parameter-based machine learning model for excluding non-alcoholic fatty liver disease (NAFLD) in the general population.
Alimentary pharmacology & therapeutics
Jun 6, 2017
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 20%-40% of the general population in developed countries and is an increasingly important cause of hepatocellular carcinoma. Electronic medical records facilitate large-scale epidemiologic...
Automated analysis of brain activity for seizure detection in zebrafish models of epilepsy.
Journal of neuroscience methods
Jun 1, 2017
BACKGROUND: Epilepsy is a chronic neurological condition, with over 30% of cases unresponsive to treatment. Zebrafish larvae show great potential to serve as an animal model of epilepsy in drug discovery. Thanks to their high fecundity and relatively...
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