AIMC Topic: Sensitivity and Specificity

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Deep Learning Role in Early Diagnosis of Prostate Cancer.

Technology in cancer research & treatment Jan 1, 2018
The objective of this work is to develop a computer-aided diagnostic system for early diagnosis of prostate cancer. The presented system integrates both clinical biomarkers (prostate-specific antigen) and extracted features from diffusion-weighted ma...
Humans Algorithms Reproducibility of Results Deep Learning ROC Curve Sensitivity and Specificity Male Diffusion Magnetic Resonance Imaging Early Detection of Cancer Prostatic Neoplasms Image Interpretation, Computer-Assisted
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Classification of single-channel EEG signals for epileptic seizures detection based on hybrid features.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Epilepsy is a common chronic neurological disorder of the brain. Clinically, epileptic seizures are usually detected via the continuous monitoring of electroencephalogram (EEG) signals by experienced neurophysiologists.
Humans Sensitivity and Specificity Machine Learning Electroencephalography Signal Processing, Computer-Assisted Algorithms Epilepsy
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In vivo noninvasive blood glucose detection using near-infrared spectrum based on the PSO-2ANN model.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: To improving the nursing level of diabetics, it is necessary to develop noninvasive blood glucose method.
Image Processing, Computer-Assisted Diabetes Mellitus Sensitivity and Specificity Spectroscopy, Near-Infrared Blood Glucose Neural Networks, Computer Humans Algorithms
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Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Diabetic macular edema (DME) is one of the severe complication of diabetic retinopathy causing severe vision loss and leads to blindness in severe cases if left untreated.
Diabetic Retinopathy Sensitivity and Specificity Severity of Illness Index Image Interpretation, Computer-Assisted Exudates and Transudates Humans Supervised Machine Learning Macular Edema
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Applications of Machine Learning in Fatty Live Disease Prediction.

Studies in health technology and informatics Jan 1, 2018
: Fatty liver disease (FLD) is considered the most prevalent form of chronic liver disease worldwide. The prediction of fatty liver disease is an important factor for effective treatment and reduce serious health consequences. We, therefore construct...
Female Sensitivity and Specificity Male Fatty Liver Humans Machine Learning Algorithms Logistic Models Support Vector Machine
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A Clinically-Translatable Machine Learning Algorithm for the Prediction of Alzheimer's Disease Conversion in Individuals with Mild and Premild Cognitive Impairment.

Journal of Alzheimer's disease : JAD Jan 1, 2018
BACKGROUND: Available therapies for Alzheimer's disease (AD) can only alleviate and delay the advance of symptoms, with the greatest impact eventually achieved when provided at an early stage. Thus, early identification of which subjects at high risk...
Machine Learning Algorithms Brain Prognosis Humans Neuropsychological Tests Atrophy Logistic Models Support Vector Machine Sensitivity and Specificity Magnetic Resonance Imaging Female Male Disease Progression Aged Area Under Curve Regression Analysis Cognitive Dysfunction Aged, 80 and over Alzheimer Disease Predictive Value of Tests
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Automated System for Referral of Cotton-Wool Spots.

Current diabetes reviews Jan 1, 2018
BACKGROUND: Cotton-wool spots also referred as soft exudates are the early signs of complications in the eye fundus of the patients suffering from diabetic retinopathy. Early detection of exudates helps in the diagnosis of the disease and provides be...
Diabetic Retinopathy Artificial Intelligence Sensitivity and Specificity ROC Curve Humans Exudates and Transudates Photography Retinal Drusen Fundus Oculi Retinal Vessels Image Interpretation, Computer-Assisted Pattern Recognition, Automated
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[Computer Aided Diagnosis system of breast ultrasound based on support vector machine: a clinical analysis].

Zhonghua yi xue za zhi Dec 26, 2017
To investigate the value of based on support vector machine (SVM) breast ultrasonography technology of Computer-Assisted diagnosis (CAD) for differential diagnosis of benign and malignant breast masses. Total of 143 patients who had 151 breast mass...
Support Vector Machine Diagnosis, Differential Ultrasonography, Mammary Breast Neoplasms Diagnosis, Computer-Assisted ROC Curve Female Humans Sensitivity and Specificity
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Spectrophotometric method for simultaneous determination of valsartan and substances from the group of statins in binary mixtures.

Acta pharmaceutica (Zagreb, Croatia) Dec 20, 2017
Applicability of derivative spectrophotometry for the determination of valsartan in the presence of a substance from the group of statins was checked. The obtained results indicate that the proposed method may be effective by using appropriate deriva...
Fatty Acids, Monounsaturated Valsartan Spectrophotometry Reproducibility of Results Fluvastatin Hydroxymethylglutaryl-CoA Reductase Inhibitors Sensitivity and Specificity Pravastatin Atorvastatin Indoles
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Development and Validation of a Deep Learning System for Diabetic Retinopathy and Related Eye Diseases Using Retinal Images From Multiethnic Populations With Diabetes.

JAMA Dec 12, 2017
IMPORTANCE: A deep learning system (DLS) is a machine learning technology with potential for screening diabetic retinopathy and related eye diseases.
Humans Retina Female Diabetic Retinopathy Datasets as Topic Sensitivity and Specificity ROC Curve Male Glaucoma Eye Diseases Diabetes Mellitus Middle Aged Machine Learning Area Under Curve
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