AIMC Topic:
ROC Curve

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High spatiotemporal resolution dynamic contrast-enhanced MRI improves the image-based discrimination of histopathology risk groups of peripheral zone prostate cancer: a supervised machine learning approach.

European radiology Apr 23, 2020
OBJECTIVE: To assess if adding perfusion information from dynamic contrast-enhanced (DCE MRI) acquisition schemes with high spatiotemporal resolution to T2w/DWI sequences as input features for a gradient boosting machine (GBM) machine learning (ML) c...
Humans Prostatic Neoplasms Neoplasm Staging Supervised Machine Learning Image-Guided Biopsy Diffusion Magnetic Resonance Imaging Retrospective Studies Aged Male ROC Curve Contrast Media
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Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

The Journal of heart and lung transplantation : the official publication of the International Society for Heart Transplantation Apr 23, 2020
BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing progression and preventing associated mortality; however, there are no tools for this purpose. We developed and validated an artificial intelligence (A...
Early Diagnosis Hypertension, Pulmonary Middle Aged ROC Curve Electrocardiography Follow-Up Studies Humans Neural Networks, Computer Artificial Intelligence Algorithms Retrospective Studies Female Aged Male
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Gait-Based Machine Learning for Classifying Patients with Different Types of Mild Cognitive Impairment.

Journal of medical systems Apr 23, 2020
Mild cognitive impairment (MCI) may be caused by Alzheimer's disease, Parkinson's disease (PD), cerebrovascular accident, nutritional or metabolic disorders, or mental disorders. It is important to determine the cause and treatment of dementia as ear...
Humans ROC Curve Postural Balance Gait Neuropsychological Tests Gait Disorders, Neurologic Machine Learning Female Male Disease Progression Cognitive Dysfunction
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Towards large-scale case-finding: training and validation of residual networks for detection of chronic obstructive pulmonary disease using low-dose CT.

The Lancet. Digital health Apr 21, 2020
BACKGROUND: Chronic obstructive pulmonary disease (COPD) is underdiagnosed in the community. Thoracic CT scans are widely used for diagnostic and screening purposes for lung cancer. In this proof-of-concept study, we aimed to evaluate a software pipe...
Data Analysis Tomography, X-Ray Computed Female Aged Pulmonary Disease, Chronic Obstructive Male Middle Aged Smokers Risk Assessment Ex-Smokers Canada Disease Progression Mass Screening Cohort Studies Lung Area Under Curve Humans ROC Curve Models, Biological Neural Networks, Computer Smoking Image Processing, Computer-Assisted Artificial Intelligence Lung Neoplasms
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Novel hybrid models between bivariate statistics, artificial neural networks and boosting algorithms for flood susceptibility assessment.

Journal of environmental management Apr 20, 2020
Across the world, the flood magnitude is expected to increase as well as the damage caused by their occurrence. In this case, the prediction of areas which are highly susceptible to these phenomena becomes very important for the authorities. The pres...
Algorithms ROC Curve Floods Romania Neural Networks, Computer
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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 Comorbidity Adolescent Child ROC Curve Retrospective Studies Female Risk Factors Hospitalization Aged Young Adult Adult Male Middle Aged Humans Machine Learning Mental Disorders
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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 Male Cholecystectomy, Laparoscopic Humans ROC Curve Middle Aged Electronic Health Records Neural Networks, Computer Arterial Pressure Risk Assessment Anesthesia, General Female Machine Learning Models, Cardiovascular Monitoring, Intraoperative Bayes Theorem Aged Retrospective Studies Anesthetics Feasibility 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 Choroidal Neovascularization Aged Retinoschisis Adult Image Interpretation, Computer-Assisted Datasets as Topic Macula Lutea Male Blindness ROC Curve Middle Aged Mass Screening Myopia Diagnosis, Differential Severity of Illness Index Choroid Deep Learning Tomography, Optical Coherence
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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...
Hospital Mortality ROC Curve Support Vector Machine Febrile Neutropenia Hospitalization Aged Humans Survival Rate Male Neural Networks, Computer Middle Aged Machine Learning Female
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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 Humans Molecular Imaging Microaneurysm Machine Learning Time Factors ROC Curve Image Processing, Computer-Assisted Area Under Curve
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