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ROC Curve

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Development and Validation of a Deep Learning Model Using Convolutional Neural Networks to Identify Scaphoid Fractures in Radiographs.

JAMA network open May 3, 2021
IMPORTANCE: Scaphoid fractures are the most common carpal fracture, but as many as 20% are not visible (ie, occult) in the initial injury radiograph; untreated scaphoid fractures can lead to degenerative wrist arthritis and debilitating pain, detrime...
Fractures, Bone Area Under Curve Radiography Scaphoid Bone Humans Adult Sensitivity and Specificity Deep Learning ROC Curve
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Diagnostic and prognostic capabilities of a biomarker and EMR-based machine learning algorithm for sepsis.

Clinical and translational science May 2, 2021
Sepsis is a major cause of mortality among hospitalized patients worldwide. Shorter time to administration of broad-spectrum antibiotics is associated with improved outcomes, but early recognition of sepsis remains a major challenge. In a two-center ...
Female Area Under Curve Aged Emergency Service, Hospital Humans Length of Stay Male Patient Readmission Biomarkers Machine Learning Sepsis Middle Aged Early Diagnosis Prognosis Hospital Mortality Prospective Studies Electronic Health Records ROC Curve
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Gastric polyp detection in gastroscopic images using deep neural network.

PloS one Apr 28, 2021
This paper presents the research results of detecting gastric polyps with deep learning object detection method in gastroscopic images. Gastric polyps have various sizes. The difficulty of polyp detection is that small polyps are difficult to detect ...
Neural Networks, Computer ROC Curve Stomach Gastroscopy Humans Intestinal Polyps
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Machine learning for the prediction of pathologic pneumatosis intestinalis.

Surgery Apr 27, 2021
BACKGROUND: The radiographic finding of pneumatosis intestinalis can indicate a spectrum of underlying processes ranging from a benign finding to a life-threatening condition. Although radiographic pneumatosis intestinalis is relatively common, there...
ROC Curve Machine Learning Retrospective Studies Models, Statistical Tomography, X-Ray Computed Humans Reproducibility of Results Pneumatosis Cystoides Intestinalis Female Aged Male Middle Aged
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Feasibility of deep learning-based fully automated classification of microsatellite instability in tissue slides of colorectal cancer.

International journal of cancer Apr 27, 2021
High levels of microsatellite instability (MSI-H) occurs in about 15% of sporadic colorectal cancer (CRC) and is an important predictive marker for response to immune checkpoint inhibitors. To test the feasibility of a deep learning (DL)-based classi...
Retrospective Studies Female Aged Aged, 80 and over Humans Prognosis Middle Aged Deep Learning ROC Curve Follow-Up Studies Adult Colorectal Neoplasms Biomarkers, Tumor Male Microsatellite Instability Feasibility Studies
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Cancer Classification with a Cost-Sensitive Naive Bayes Stacking Ensemble.

Computational and mathematical methods in medicine Apr 24, 2021
Ensemble learning combines multiple learners to perform combinatorial learning, which has advantages of good flexibility and higher generalization performance. To achieve higher quality cancer classification, in this study, the fast correlation-based...
Oligonucleotide Array Sequence Analysis ROC Curve Algorithms Oncogenes Support Vector Machine Humans Computational Biology Female Databases, Genetic Neural Networks, Computer Male Gene Expression Regulation, Neoplastic Decision Trees Machine Learning Neoplasms Bayes Theorem
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Development of a severity of disease score and classification model by machine learning for hospitalized COVID-19 patients.

PloS one Apr 21, 2021
BACKGROUND: Efficient and early triage of hospitalized Covid-19 patients to detect those with higher risk of severe disease is essential for appropriate case management.
Severity of Illness Index Cohort Studies ROC Curve Models, Statistical Triage Area Under Curve Spain Male Middle Aged Forecasting Risk Assessment Retrospective Studies Respiration, Artificial Female Hospitalization SARS-CoV-2 Aged Adult Humans Machine Learning COVID-19
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A scalable approach for developing clinical risk prediction applications in different hospitals.

Journal of biomedical informatics Apr 20, 2021
OBJECTIVE: Machine learning (ML) algorithms are now widely used in predicting acute events for clinical applications. While most of such prediction applications are developed to predict the risk of a particular acute event at one hospital, few effort...
ROC Curve Humans Machine Learning Electronic Health Records Hospitalization Hospitals
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Radiomics analysis on CT images for prediction of radiation-induced kidney damage by machine learning models.

Computers in biology and medicine Apr 19, 2021
INTRODUCTION: We aimed to assess the power of radiomic features based on computed tomography to predict risk of chronic kidney disease in patients undergoing radiation therapy of abdominal cancers.
ROC Curve Kidney Humans Bayes Theorem Machine Learning Tomography, X-Ray Computed
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Intelligent Diagnosis of Thyroid Ultrasound Imaging Using an Ensemble of Deep Learning Methods.

Medicina (Kaunas, Lithuania) Apr 19, 2021
: At present, thyroid disorders have a great incidence in the worldwide population, so the development of alternative methods for improving the diagnosis process is necessary. : For this purpose, we developed an ensemble method that fused two deep le...
Ultrasonography Humans ROC Curve Neural Networks, Computer Deep Learning Thyroid Gland
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