AIMC Topic: Sensitivity and Specificity

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Improving Detection of Early Chronic Obstructive Pulmonary Disease.

Annals of the American Thoracic Society Dec 1, 2018
Despite being a major cause of morbidity and mortality, chronic obstructive pulmonary disease (COPD) is frequently undiagnosed. Yet the burden of disease among the undiagnosed is significant, as these individuals experience symptoms, exacerbations, a...
Early Diagnosis Sensitivity and Specificity Humans Respiratory Function Tests Disease Progression Tomography, X-Ray Computed Spirometry Lung Risk Factors Pulmonary Emphysema Pulmonary Disease, Chronic Obstructive
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Comparison of Natural Language Processing and Manual Coding for the Identification of Cross-Sectional Imaging Reports Suspicious for Lung Cancer.

JCO clinical cancer informatics Dec 1, 2018
PURPOSE: To compare the accuracy and reliability of a natural language processing (NLP) algorithm with manual coding by radiologists, and the combination of the two methods, for the identification of patients whose computed tomography (CT) reports ra...
Humans Algorithms Tomography, X-Ray Computed Middle Aged Lung Neoplasms Female Natural Language Processing Aged Connecticut Sensitivity and Specificity Clinical Coding Male
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Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Journal of the American Heart Association Nov 20, 2018
Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Pooled Cohort Equations Risk Calculator may underestimate risk of atherosclerotic cardiovascular disease ...
Humans Machine Learning Female Risk Factors Coronary Artery Disease Cardiovascular Diseases Aged Hydroxymethylglutaryl-CoA Reductase Inhibitors Sensitivity and Specificity Middle Aged Male Risk Assessment Support Vector Machine
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Utility of Deep Learning Methods for Referability Classification of Age-Related Macular Degeneration.

JAMA ophthalmology Nov 1, 2018
This study uses fundus images from a national data set to assess 2 deep learning methods for referability classification of age-related macular degeneration.
Ophthalmologists Deep Learning Predictive Value of Tests Macular Degeneration False Positive Reactions Humans Neural Networks, Computer Reproducibility of Results Aged Sensitivity and Specificity Diagnosis, Computer-Assisted
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[COLONSCORE: THE USE OF MACHINE LEARNING OF BIG DATA TO DETECT COLORECTAL CANCER].

Harefuah Oct 1, 2018
The use of big data is in its first years of entering the medical world. Big data research enables analysis of very large volumes of data, identifying patterns and findings which traditional statistical methods cannot handle. The diagnosis of colorec...
Israel Occult Blood Humans Machine Learning Colorectal Neoplasms Algorithms Male Aged Big Data Sensitivity and Specificity Mass Screening
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3D deep learning for detecting pulmonary nodules in CT scans.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: To demonstrate and test the validity of a novel deep-learning-based system for the automated detection of pulmonary nodules.
ROC Curve Multiple Pulmonary Nodules Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Sensitivity and Specificity Humans Lung Tomography, X-Ray Computed Diagnosis, Computer-Assisted Deep Learning
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Deep Learning-Based Computer-Aided Diagnosis System for Localization and Diagnosis of Metastatic Lymph Nodes on Ultrasound: A Pilot Study.

Thyroid : official journal of the American Thyroid Association Oct 1, 2018
BACKGROUND: The presence of metastatic lymph nodes is a prognostic indicator for patients with thyroid carcinomas and is an important determinant of clinical decision making. However, evaluating neck lymph nodes requires experience and is labor- and ...
Humans Prognosis Female Aged Pilot Projects Male Lymphatic Metastasis Ultrasonography Adolescent Middle Aged Lymph Nodes Thyroid Gland Aged, 80 and over Biopsy, Fine-Needle Diagnosis, Computer-Assisted Child Young Adult Deep Learning Adult Sensitivity and Specificity
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Unique Clinical Language Patterns Among Expert Vestibular Providers Can Predict Vestibular Diagnoses.

Otology & neurotology : official publication of the American Otological Society, American Neurotology Society [and] European Academy of Otology and Neurotology Oct 1, 2018
OBJECTIVE: To identify novel language usage by expert providers predictive of specific vestibular conditions.
Natural Language Processing Bayes Theorem Practice Patterns, Physicians' Medical History Taking Sensitivity and Specificity Humans Vestibular Diseases Male Otolaryngologists Middle Aged ROC Curve Algorithms Retrospective Studies Female Adult
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Efficiency Improvement in a Busy Radiology Practice: Determination of Musculoskeletal Magnetic Resonance Imaging Protocol Using Deep-Learning Convolutional Neural Networks.

Journal of digital imaging Oct 1, 2018
The purposes of this study are to evaluate the feasibility of protocol determination with a convolutional neural networks (CNN) classifier based on short-text classification and to evaluate the agreements by comparing protocols determined by CNN with...
Male Middle Aged Deep Learning Magnetic Resonance Imaging Algorithms Databases, Factual Female Sensitivity and Specificity Musculoskeletal Diseases Musculoskeletal System Workflow Feasibility Studies Efficiency, Organizational Image Interpretation, Computer-Assisted Humans Neural Networks, Computer
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Machine Learning of Toxicological Big Data Enables Read-Across Structure Activity Relationships (RASAR) Outperforming Animal Test Reproducibility.

Toxicological sciences : an official journal of the Society of Toxicology Sep 1, 2018
Earlier we created a chemical hazard database via natural language processing of dossiers submitted to the European Chemical Agency with approximately 10 000 chemicals. We identified repeat OECD guideline tests to establish reproducibility of acute o...
Databases, Chemical Big Data Humans Animal Testing Alternatives Models, Theoretical Machine Learning Hazardous Substances Structure-Activity Relationship Reproducibility of Results Data Mining Sensitivity and Specificity Animals
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