AIMC Topic: ROC Curve

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Automated detection of critical findings in multi-parametric brain MRI using a system of 3D neural networks.

Scientific reports Mar 25, 2021
With the rapid growth and increasing use of brain MRI, there is an interest in automated image classification to aid human interpretation and improve workflow. We aimed to train a deep convolutional neural network and assess its performance in identi...
Humans Neural Networks, Computer Brain Imaging, Three-Dimensional Image Interpretation, Computer-Assisted Deep Learning ROC Curve Neuroimaging Multiparametric Magnetic Resonance Imaging
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Development and performance of CUHAS-ROBUST application for pulmonary rifampicin-resistance tuberculosis screening in Indonesia.

PloS one Mar 25, 2021
BACKGROUND AND OBJECTIVES: Diagnosis of Pulmonary Rifampicin Resistant Tuberculosis (RR-TB) with the Drug-Susceptibility Test (DST) is costly and time-consuming. Furthermore, GeneXpert for rapid diagnosis is not widely available in Indonesia. This st...
Antibiotics, Antitubercular Tuberculosis Mycobacterium tuberculosis Rifampin Cross-Sectional Studies Female Area Under Curve Humans ROC Curve Male Adult Neural Networks, Computer Logistic Models Sensitivity and Specificity Indonesia Middle Aged Drug Resistance, Bacterial
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Using deep learning to predict temporomandibular joint disc perforation based on magnetic resonance imaging.

Scientific reports Mar 23, 2021
The goal of this study was to develop a deep learning-based algorithm to predict temporomandibular joint (TMJ) disc perforation based on the findings of magnetic resonance imaging (MRI) and to validate its performance through comparison with previous...
ROC Curve Magnetic Resonance Imaging Area Under Curve Temporomandibular Joint Disc Algorithms Odds Ratio Humans Male Female Temporomandibular Joint Deep Learning
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Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence.

BMC medicine Mar 23, 2021
BACKGROUND: Accurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients' treatment. The current heavy workload of pathologists in clinics/hospitals...
Deep Learning ROC Curve Neural Networks, Computer Artificial Intelligence Colorectal Neoplasms Humans
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Automating chest radiograph imaging quality control.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) Mar 23, 2021
PURPOSE: To automate diagnostic chest radiograph imaging quality control (lung inclusion at all four edges, patient rotation, and correct inspiration) using convolutional neural network models.
Radiography Quality Control Radiography, Thoracic Humans Neural Networks, Computer ROC Curve
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Deep Learning for Novel Antimicrobial Peptide Design.

Biomolecules Mar 22, 2021
Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the arsenal of available agents is decreasing, especially for the tre...
Machine Learning Deep Learning ROC Curve Amino Acid Sequence Protein Conformation, alpha-Helical Molecular Conformation Escherichia coli Pore Forming Cytotoxic Proteins Area Under Curve Bayes Theorem
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Assessment of medication self-administration using artificial intelligence.

Nature medicine Mar 18, 2021
Errors in medication self-administration (MSA) lead to poor treatment adherence, increased hospitalizations and higher healthcare costs. These errors are particularly common when medication delivery involves devices such as inhalers or insulin pens. ...
Insulin Infusion Systems Wireless Technology Pharmaceutical Preparations Nebulizers and Vaporizers Self Administration Artificial Intelligence Aged Young Adult Adolescent ROC Curve Adult Middle Aged Humans
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Mixed-data deep learning in repeated predictions of general medicine length of stay: a derivation study.

Internal and emergency medicine Mar 16, 2021
The accurate prediction of likely discharges and estimates of length of stay (LOS) aid in effective hospital administration and help to prevent access block. Machine learning (ML) may be able to help with these tasks. For consecutive patients admitte...
Humans Deep Learning Length of Stay Logistic Models Area Under Curve Time Factors Statistics as Topic ROC Curve Primary Health Care
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Construction and validation of a machine learning-based nomogram: A tool to predict the risk of getting severe coronavirus disease 2019 (COVID-19).

Immunity, inflammation and disease Mar 13, 2021
BACKGROUND: Identifying patients who may develop severe coronavirus disease 2019 (COVID-19) will facilitate personalized treatment and optimize the distribution of medical resources.
Adult Sensitivity and Specificity Male Machine Learning Middle Aged Nomograms Pandemics SARS-CoV-2 Models, Theoretical COVID-19 Risk Factors Area Under Curve Retrospective Studies Humans Aged Calibration Female Risk Assessment Decision Support Techniques ROC Curve Prospective Studies Logistic Models
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A two-stage modeling approach for breast cancer survivability prediction.

International journal of medical informatics Mar 11, 2021
BACKGROUND: Despite the increasing number of studies in breast cancer survival prediction, there is little attention put toward deceased patients and their survival lengths. Moreover, developing a model that is both accurate and interpretable remains...
Humans Machine Learning Linear Models Female Breast Neoplasms ROC Curve
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