AIMC Topic: Sensitivity and Specificity

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Automatic Classification of Gait Impairments Using a Markerless 2D Video-Based System.

Sensors (Basel, Switzerland) Aug 21, 2018
Systemic disorders affecting an individual can cause gait impairments. Successful acquisition and evaluation of features representing such impairments make it possible to estimate the severity of those disorders, which is important information for mo...
Humans Male Female Support Vector Machine Video Recording Sensitivity and Specificity Monitoring, Physiologic Biomechanical Phenomena Automation Gait Foot Fiducial Markers
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Identification of synthetic lethality based on a functional network by using machine learning algorithms.

Journal of cellular biochemistry Aug 20, 2018
Synthetic lethality is the synthesis of mutations leading to cell death. Tumor-specific synthetic lethality has been targeted in research to improve cancer therapy. With the advances of techniques in molecular biology, such as RNAi and CRISPR/Cas9 ge...
Gene Ontology Genes, Neoplasm RNA Interference Synthetic Lethal Mutations A549 Cells Humans HeLa Cells Sensitivity and Specificity Machine Learning Data Accuracy Neoplasms Gene Editing Computational Biology
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Diagnostic outcomes of esophageal cancer by artificial intelligence using convolutional neural networks.

Gastrointestinal endoscopy Aug 16, 2018
BACKGROUND AND AIMS: The prognosis of esophageal cancer is relatively poor. Patients are usually diagnosed at an advanced stage when it is often too late for effective treatment. Recently, artificial intelligence (AI) using deep learning has made rem...
Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Predictive Value of Tests Esophageal Neoplasms Japan Deep Learning Adenocarcinoma Female Carcinoma, Squamous Cell Aged Aged, 80 and over Tumor Burden Humans Neural Networks, Computer Artificial Intelligence Retrospective Studies
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An Associative Memory Approach to Healthcare Monitoring and Decision Making.

Sensors (Basel, Switzerland) Aug 16, 2018
The rapid proliferation of connectivity, availability of ubiquitous computing, miniaturization of sensors and communication technology, have changed healthcare in all its areas, creating the well-known healthcare paradigm of e-Health. In this paper, ...
Datasets as Topic Biometry Female Sensitivity and Specificity Male Coronary Artery Disease Humans Machine Learning Algorithms Clinical Decision-Making
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Risk prediction using natural language processing of electronic mental health records in an inpatient forensic psychiatry setting.

Journal of biomedical informatics Aug 14, 2018
OBJECTIVE: Instruments rating risk of harm to self and others are widely used in inpatient forensic psychiatry settings. A potential alternate or supplementary means of risk prediction is from the automated analysis of case notes in Electronic Health...
Support Vector Machine Mental Health Services Regression Analysis Inpatients Unified Medical Language System Reproducibility of Results Natural Language Processing Forensic Psychiatry Humans Sensitivity and Specificity Ethics, Medical Tasmania Algorithms Mental Health Electronic Health Records Risk Assessment
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Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy: A Prospective Study.

Annals of internal medicine Aug 14, 2018
BACKGROUND: Computer-aided diagnosis (CAD) for colonoscopy may help endoscopists distinguish neoplastic polyps (adenomas) requiring resection from nonneoplastic polyps not requiring resection, potentially reducing cost.
Feasibility Studies Coloring Agents Colonic Polyps Methylene Blue Middle Aged Colonoscopy Diagnosis, Computer-Assisted Adenoma Narrow Band Imaging Humans Artificial Intelligence Aged Sensitivity and Specificity Male Prospective Studies Female
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Identifying epidermal growth factor receptor mutation status in patients with lung adenocarcinoma by three-dimensional convolutional neural networks.

The British journal of radiology Aug 13, 2018
OBJECTIVE:: Genetic phenotype plays a central role in making treatment decisions of lung adenocarcinoma, especially the tyrosine-kinase-inhibitors-sensitive mutations of the epidermal growth factor receptor (EGFR) gene. We constructed three-dimension...
Humans Neural Networks, Computer Tomography, X-Ray Computed Female Lung Neoplasms Adenocarcinoma Area Under Curve Mutation Sensitivity and Specificity ErbB Receptors Male Imaging, Three-Dimensional Image Processing, Computer-Assisted
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Temporal Performance of Laplacian Eigenmaps and 3D Conduction Velocity in Detecting Ischemic Stress.

Journal of electrocardiology Aug 13, 2018
BACKGROUND: Myocardial ischemia has a complex and time-varying electrocardiographic signature that is used to diagnose and stratify severity. Despite the ubiquitous clinical use of the ECG to detect ischemia, the sensitivity and specificity of ECG ba...
Time Factors Machine Learning Electrocardiography Disease Models, Animal Sensitivity and Specificity Dogs Animals Myocardial Ischemia Swine
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A New Method for Recognizing Cytokines Based on Feature Combination and a Support Vector Machine Classifier.

Molecules (Basel, Switzerland) Aug 11, 2018
Research on cytokine recognition is of great significance in the medical field due to the fact cytokines benefit the diagnosis and treatment of diseases, but the current methods for cytokine recognition have many shortcomings, such as low sensitivity...
Reproducibility of Results Sensitivity and Specificity Computational Biology Support Vector Machine Databases, Protein Humans Algorithms Cytokines Amino Acids Protein Structure, Secondary
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Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence.

American journal of ophthalmology Aug 9, 2018
PURPOSE: To improve the detection of corneal ectasia susceptibility using tomographic data.
Keratomileusis, Laser In Situ Tomography Corneal Pachymetry Slit Lamp Microscopy Dilatation, Pathologic Case-Control Studies Keratoconus Cornea Retrospective Studies Humans ROC Curve Male Corneal Topography Female Artificial Intelligence Diagnostic Techniques, Ophthalmological Middle Aged Adult Sensitivity and Specificity
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