AIMC Topic: ROC Curve

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Predicting hospital readmission in patients with mental or substance use disorders: A machine learning approach.

International journal of medical informatics Apr 18, 2020
OBJECTIVE: Mental or substance use disorders (M/SUD) are major contributors of disease burden with high risk for hospital readmissions. We sought to develop and evaluate a readmission model using a machine learning (ML) approach.
Longitudinal Studies Substance-Related Disorders Patient Discharge Patient Readmission Hospitalization Humans Aged Machine Learning Young Adult Adult Mental Disorders Male Middle Aged Retrospective Studies Comorbidity Female Adolescent Risk Factors Child ROC Curve
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Development of a prediction model for hypotension after induction of anesthesia using machine learning.

PloS one Apr 16, 2020
Arterial hypotension during the early phase of anesthesia can lead to adverse outcomes such as a prolonged postoperative stay or even death. Predicting hypotension during anesthesia induction is complicated by its diverse causes. We investigated the ...
Intubation, Intratracheal Cholecystectomy, Laparoscopic Arterial Pressure Models, Cardiovascular Anesthetics Male ROC Curve Humans Electronic Health Records Anesthesia, General Middle Aged Neural Networks, Computer Female Risk Assessment Bayes Theorem Machine Learning Aged Monitoring, Intraoperative Feasibility Studies Retrospective Studies Adult Hypotension Drug Delivery Systems
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Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography.

PloS one Apr 16, 2020
This study examined and compared outcomes of deep learning (DL) in identifying swept-source optical coherence tomography (OCT) images without myopic macular lesions [i.e., no high myopia (nHM) vs. high myopia (HM)], and OCT images with myopic macular...
Humans Female Aged Adult ROC Curve Choroidal Neovascularization Mass Screening Diagnosis, Differential Male Image Interpretation, Computer-Assisted Retinoschisis Choroid Middle Aged Tomography, Optical Coherence Myopia Datasets as Topic Severity of Illness Index Macula Lutea Deep Learning Blindness
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Predicting in-hospital mortality of patients with febrile neutropenia using machine learning models.

International journal of medical informatics Apr 15, 2020
BACKGROUND: Febrile neutropenia (FN) has been associated with high mortality among adults with cancer. Current systems for early detection of inpatient FN mortality are based on scoring indexes that require intensive physicians' subjective evaluation...
Aged Survival Rate Male Middle Aged Hospital Mortality ROC Curve Support Vector Machine Febrile Neutropenia Humans Neural Networks, Computer Machine Learning Female Hospitalization
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Microaneurysms detection in color fundus images using machine learning based on directional local contrast.

Biomedical engineering online Apr 15, 2020
BACKGROUND: As one of the major complications of diabetes, diabetic retinopathy (DR) is a leading cause of visual impairment and blindness due to delayed diagnosis and intervention. Microaneurysms appear as the earliest symptom of DR. Accurate and re...
Fundus Oculi Molecular Imaging Microaneurysm Time Factors ROC Curve Image Processing, Computer-Assisted Area Under Curve Humans Machine Learning
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Artificial Intelligence to Detect Papilledema from Ocular Fundus Photographs.

The New England journal of medicine Apr 14, 2020
BACKGROUND: Nonophthalmologist physicians do not confidently perform direct ophthalmoscopy. The use of artificial intelligence to detect papilledema and other optic-disk abnormalities from fundus photographs has not been well studied.
Predictive Value of Tests Area Under Curve Fundus Oculi Retina Datasets as Topic Sensitivity and Specificity Deep Learning ROC Curve Diagnosis, Differential Humans Ophthalmoscopy Neural Networks, Computer Photography Algorithms Papilledema Retrospective Studies
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Resolving challenges in deep learning-based analyses of histopathological images using explanation methods.

Scientific reports Apr 14, 2020
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better understanding beyond standard quantitative performance evaluation. Recentl...
Neoplasms Deep Learning ROC Curve Humans Area Under Curve Neural Networks, Computer Image Interpretation, Computer-Assisted
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Prediction of physical violence in schizophrenia with machine learning algorithms.

Psychiatry research Apr 13, 2020
Patients with schizophrenia have been shown to have an increased risk for physical violence. While certain features have been identified as risk factors, it has been difficult to integrate these variables to identify violent patients. The present stu...
Female Risk Factors Adult Cross-Sectional Studies Male Middle Aged ROC Curve Predictive Value of Tests Area Under Curve Violence Schizophrenia Humans Schizophrenic Psychology Machine Learning Physical Abuse Algorithms
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Differential Diagnosis of Benign and Malignant Thyroid Nodules Using Deep Learning Radiomics of Thyroid Ultrasound Images.

European journal of radiology Apr 12, 2020
PURPOSE: We aimed to propose a highly automatic and objective model named deep learning Radiomics of thyroid (DLRT) for the differential diagnosis of benign and malignant thyroid nodules from ultrasound (US) images.
Ultrasonography Thyroid Nodule ROC Curve Diagnosis, Differential Male Area Under Curve Middle Aged Image Interpretation, Computer-Assisted Deep Learning Thyroid Gland Cohort Studies Humans Retrospective Studies Female Reproducibility of Results
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Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

European radiology Apr 8, 2020
OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined with machine learning (ML) of non-contrast-enhanced T1w and T2w fat-saturated (fs) images with MR elastography (MRE) for liver fibrosis quantification...
Humans Machine Learning Liver Cirrhosis Magnetic Resonance Imaging Liver Biopsy Elasticity Imaging Techniques Prospective Studies Female Male Middle Aged ROC Curve
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