AIMC Topic: ROC Curve

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Machine Learning-Based Prediction Models for Different Clinical Risks in Different Hospitals: Evaluation of Live Performance.

Journal of medical Internet research Jun 7, 2022
BACKGROUND: Machine learning algorithms are currently used in a wide array of clinical domains to produce models that can predict clinical risk events. Most models are developed and evaluated with retrospective data, very few are evaluated in a clini...
Humans Electronic Health Records Hospitals ROC Curve Machine Learning Retrospective Studies
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Enhancing classification in correlative microscopy using multiple classifier systems with dynamic selection.

Ultramicroscopy Jun 6, 2022
Correlative microscopy combines data from different microscopical techniques to gain unique insights about specimens. A key requirement to unlocking the full potential is an advanced classification method that can combine the various analytical signa...
ROC Curve Microscopy Machine Learning
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Massive external validation of a machine learning algorithm to predict pulmonary embolism in hospitalized patients.

Thrombosis research Jun 2, 2022
BACKGROUND: Pulmonary embolism (PE) is a life-threatening condition associated with ~10% of deaths of hospitalized patients. Machine learning algorithms (MLAs) which predict the onset of pulmonary embolism (PE) could enable earlier treatment and impr...
Algorithms Retrospective Studies Humans Machine Learning Pulmonary Embolism Adult ROC Curve
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Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees.

Journal of pediatric gastroenterology and nutrition Jun 1, 2022
OBJECTIVE: To create a new methodology that has a single simple rule to identify height outliers in the electronic health records (EHR) of children.
Bayes Theorem Child ROC Curve Machine Learning Retrospective Studies Humans Electronic Health Records Child, Preschool
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Using machine learning techniques to predict antimicrobial resistance in stone disease patients.

World journal of urology May 26, 2022
PURPOSE: Artificial intelligence is part of our daily life and machine learning techniques offer possibilities unknown until now in medicine. This study aims to offer an evaluation of the performance of machine learning (ML) techniques, for predictin...
Artificial Intelligence ROC Curve Machine Learning Humans Logistic Models Anti-Bacterial Agents Drug Resistance, Bacterial
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Magnetic Resonance Imaging Features on Deep Learning Algorithm for the Diagnosis of Nasopharyngeal Carcinoma.

Contrast media & molecular imaging May 25, 2022
The objective of this research was to investigate the application values of magnetic resonance imaging (MRI) features of the deep learning-based image super-resolution reconstruction algorithm optimized convolutional neural network (OPCNN) algorithm ...
Contrast Media Diffusion Magnetic Resonance Imaging Deep Learning Magnetic Resonance Imaging Humans ROC Curve Nasopharyngeal Carcinoma Algorithms Nasopharyngeal Neoplasms
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Classification of Thyroid Nodules by Using Deep Learning Radiomics Based on Ultrasound Dynamic Video.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine May 23, 2022
OBJECTIVES: We aimed to design a radiomics model for differential diagnosis of thyroid carcinoma based on dynamic ultrasound video, and compare its diagnostic performance with that of radiomics model based on static ultrasound images.
Ultrasonography Thyroid Nodule ROC Curve Deep Learning Thyroid Neoplasms Humans Retrospective Studies
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Machine Learning-Based Ultrasound Radiomics for Evaluating the Function of Transplanted Kidneys.

Ultrasound in medicine & biology May 20, 2022
The aim of the study described here was to investigate the value of different machine learning models based on the clinical and radiomic features of 2-D ultrasound images to evaluate post-transplant renal function (pTRF). We included 233 patients who...
Humans Kidney Neoplasm Grading Ultrasonography Machine Learning ROC Curve Retrospective Studies
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Improving sensitivity and connectivity of retinal vessel segmentation via error discrimination network.

Medical physics May 20, 2022
PURPOSE: Automated retinal vessel segmentation is crucial to the early diagnosis and treatment of ophthalmological diseases. Many deep-learning-based methods have shown exceptional success in this task. However, current approaches are still inadequat...
Retinal Vessels Neural Networks, Computer Algorithms ROC Curve Image Processing, Computer-Assisted
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Pressure Injury Prediction Model Using Advanced Analytics for At-Risk Hospitalized Patients.

Journal of patient safety May 19, 2022
OBJECTIVE: Analyzing pressure injury (PI) risk factors is complex because of multiplicity of associated factors and the multidimensional nature of this injury. The main objective of this study was to identify patients at risk of developing PI.
ROC Curve Pressure Ulcer Risk Factors Cohort Studies Humans Machine Learning
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