AIMC Topic: Sensitivity and Specificity

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A systematic review shows no performance benefit of machine learning over logistic regression for clinical prediction models.

Journal of clinical epidemiology Feb 11, 2019
OBJECTIVES: The objective of this study was to compare performance of logistic regression (LR) with machine learning (ML) for clinical prediction modeling in the literature.
Outcome Assessment, Health Care Models, Theoretical Predictive Value of Tests Area Under Curve Supervised Machine Learning Humans Algorithms Sensitivity and Specificity Logistic Models
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Natural language processing to identify ureteric stones in radiology reports.

Journal of medical imaging and radiation oncology Feb 5, 2019
INTRODUCTION: Natural language processing (NLP) is an emerging tool which has the ability to automate data extraction from large volumes of unstructured text. One of the main described uses of NLP in radiology is cohort building for epidemiological s...
Radiography, Abdominal Ureteral Calculi Humans Retrospective Studies Tomography, X-Ray Computed Sensitivity and Specificity Cross-Sectional Studies Big Data Natural Language Processing
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Severe Dengue Prognosis Using Human Genome Data and Machine Learning.

IEEE transactions on bio-medical engineering Feb 4, 2019
UNLABELLED: Dengue has become one of the most important worldwide arthropod-borne diseases. Dengue phenotypes are based on laboratorial and clinical exams, which are known to be inaccurate.
Phenotype Prognosis Sensitivity and Specificity Brazil Humans Machine Learning Genome, Human Severe Dengue Case-Control Studies Polymorphism, Single Nucleotide Genotype Predictive Value of Tests
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Deep convolutional neural network for the diagnosis of thyroid nodules on ultrasound.

Head & neck Feb 4, 2019
BACKGROUND: We designed a deep convolutional neural network (CNN) to diagnose thyroid malignancy on ultrasound (US) and compared the diagnostic performance of CNN with that of experienced radiologists.
Humans Neural Networks, Computer Databases, Factual Thyroid Nodule ROC Curve Image Processing, Computer-Assisted Neoplasm Invasiveness Area Under Curve Neoplasm Staging Male Observer Variation Retrospective Studies Middle Aged Female Ultrasonography, Doppler Adult Cohort Studies Sensitivity and Specificity Thyroid Neoplasms
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Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia.

British journal of haematology Feb 3, 2019
Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is use...
Early Detection of Cancer Aged, 80 and over Male Predictive Value of Tests Humans Middle Aged Adult Anemia, Iron-Deficiency Artificial Intelligence Sensitivity and Specificity Colonoscopy Referral and Consultation Female Colorectal Neoplasms Cohort Studies Occult Blood Aged
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Detection of pulmonary ground-glass opacity based on deep learning computer artificial intelligence.

Biomedical engineering online Jan 22, 2019
BACKGROUND: A deep learning computer artificial intelligence system is helpful for early identification of ground glass opacities (GGOs).
Radiographic Image Interpretation, Computer-Assisted False Positive Reactions Humans Image Processing, Computer-Assisted Lung Neoplasms Solitary Pulmonary Nodule Sensitivity and Specificity Radiology Lung Algorithms Diagnosis, Computer-Assisted Databases, Factual Deep Learning Tomography, X-Ray Computed Reproducibility of Results
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Seizure detection by convolutional neural network-based analysis of scalp electroencephalography plot images.

NeuroImage. Clinical Jan 22, 2019
We hypothesized that expert epileptologists can detect seizures directly by visually analyzing EEG plot images, unlike automated methods that analyze spectro-temporal features or complex, non-stationary features of EEG signals. If so, seizure detecti...
Seizures Scalp Epilepsies, Partial Adolescent Child Image Processing, Computer-Assisted Electroencephalography Humans Sensitivity and Specificity Female Male Young Adult Middle Aged Adult Deep Learning
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Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

International journal of medical informatics Jan 18, 2019
OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every year. Early detection of melanoma is possible through visual inspection of pigmented lesions over the skin, treated with simple excision of the cance...
Humans Dermoscopy Neural Networks, Computer Sensitivity and Specificity Melanoma Fuzzy Logic Skin Neoplasms Cluster Analysis
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Retrospective Studies Female Aged Sensitivity and Specificity Male Humans Middle Aged Machine Learning Early Diagnosis Severity of Illness Index Lactic Acid Sepsis Organ Dysfunction Scores Hospitals, Urban
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Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data.

International journal of environmental research and public health Jan 16, 2019
We aimed to use deep learning to detect tuberculosis in chest radiographs in annual workers' health examination data and compare the performances of convolutional neural networks (CNNs) based on images only (I-CNN) and CNNs including demographic vari...
Male Middle Aged Deep Learning ROC Curve Occupational Health Demography Physical Examination Radiography Humans Tuberculosis, Pulmonary Female Adult Sensitivity and Specificity
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