AIMC Topic: Sensitivity and Specificity

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Support vector machine prediction of obstructive sleep apnea in a large-scale Chinese clinical sample.

Sleep Jul 13, 2020
STUDY OBJECTIVES: Polysomnography is the gold standard for diagnosis of obstructive sleep apnea (OSA) but it is costly and access is often limited. The aim of this study is to develop a clinically useful support vector machine (SVM)-based prediction ...
Female Aged Sensitivity and Specificity Humans Support Vector Machine Sleep Apnea, Obstructive Polysomnography Male China Surveys and Questionnaires
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Evaluating the Predictability of Cancer Types from 536 Somatic Mutations: A New Dataset.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
In this paper, we introduce a new dataset for cancer research containing somatic mutation states of 536 genes of the Cancer Gene Census (CGC). We used somatic mutation information from the Cancer Genome Atlas (TCGA) projects to create this dataset. A...
Machine Learning Mutation Humans Sensitivity and Specificity Neural Networks, Computer Neoplasms
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Detecting falls and estimation of daily habits with depth images using machine learning algorithms.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Different approaches have been proposed in the literature to detect the fall of an elderly person. In this paper, we propose a fall detection method based on the classification of parameters extracted from depth images. Three supervised learning meth...
Habits Female Sensitivity and Specificity Accidental Falls Machine Learning Algorithms
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A Multi-Label Deep Learning Model with Interpretable Grad-CAM for Diabetic Retinopathy Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
The characteristics of diabetic retinopathy (DR) fundus images generally consist of multiple types of lesions which provided strong evidence for the ophthalmologists to make diagnosis. It is particularly significant to figure out an efficient method ...
Humans Diabetic Retinopathy Sensitivity and Specificity Deep Learning Diabetes Mellitus Fundus Oculi
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Optimal Scree-CNN for Detecting NS1 Molecular Fingerprint from Salivary SERS Spectra.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2020
Dengue fever (DF) is a viral infection with possible fatal consequence. NS1 is a recent antigen based biomarker for dengue fever (DF), as an alternative to current serum and antibody based biomarkers. Convolutional Neural Network (CNN) has demonstrat...
Spectrum Analysis, Raman Neural Networks, Computer Support Vector Machine Sensitivity and Specificity Viral Nonstructural Proteins
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Using Computer-Aided Polyp Detection During Colonoscopy.

The American journal of gastroenterology Jul 1, 2020
Humans Artificial Intelligence Sensitivity and Specificity Colonoscopy Diagnosis, Computer-Assisted Colonic Polyps
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[Establishment and clinical testing of pancreatic cancer Faster R-CNN AI system based on fast regional convolutional neural network].

Zhonghua wai ke za zhi [Chinese journal of surgery] Jul 1, 2020
To investigate the effectiveness of an enhanced CT automatic recognition system based on Faster R-CNN for pancreatic cancer and its clinical value. In this study, 4 024 enhanced CT imaging sequences of 315 patients with pancreatic cancer from Janua...
Pancreatic Neoplasms Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Sensitivity and Specificity ROC Curve Humans Neural Networks, Computer Retrospective Studies
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Predictive Modeling of Pressure Injury Risk in Patients Admitted to an Intensive Care Unit.

American journal of critical care : an official publication, American Association of Critical-Care Nurses Jul 1, 2020
BACKGROUND: Pressure injuries are an important problem in hospital care. Detecting the population at risk for pressure injuries is the first step in any preventive strategy. Available tools such as the Norton and Braden scales do not take into accoun...
Aged, 80 and over Young Adult Adult Female Risk Factors Aged Risk Assessment Adolescent Child Sensitivity and Specificity Male Middle Aged Humans Machine Learning Intensive Care Units Electronic Health Records Critical Care APACHE Pressure Ulcer Hospitals, University Hemoglobins Data Mining
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Empirical assessment of bias in machine learning diagnostic test accuracy studies.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2020
OBJECTIVE: Machine learning (ML) diagnostic tools have significant potential to improve health care. However, methodological pitfalls may affect diagnostic test accuracy studies used to appraise such tools. We aimed to evaluate the prevalence and rep...
Publications Humans Diagnostic Techniques and Procedures Machine Learning Sensitivity and Specificity Biomedical Research Bias Systematic Reviews as Topic
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Deep learning to distinguish pancreatic cancer tissue from non-cancerous pancreatic tissue: a retrospective study with cross-racial external validation.

The Lancet. Digital health Jun 1, 2020
BACKGROUND: The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and approximately 40% of tumours smaller than 2 cm evade detection. Convolutional neural networks (CNNs) have shown promise in image analysis, but the networ...
Radiographic Image Interpretation, Computer-Assisted Aged Tomography, X-Ray Computed Taiwan Pancreas Female Radiographic Image Enhancement Sensitivity and Specificity Humans Diagnosis, Differential Racial Groups Reproducibility of Results Male Retrospective Studies Pancreatic Neoplasms Middle Aged Deep Learning Contrast Media
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