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ROC Curve

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Machine learning predictive model for severe COVID-19.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases Jan 28, 2021
To develop a modified predictive model for severe COVID-19 in people infected with Sars-Cov-2. We developed the predictive model for severe patients of COVID-19 based on the clinical date from the Tumor Center of Union Hospital affiliated with Tongji...
Humans Middle Aged Machine Learning Severity of Illness Index Software Adolescent COVID-19 ROC Curve Algorithms Aged, 80 and over Databases, Factual Models, Theoretical Young Adult Biomarkers Adult Tomography, X-Ray Computed Prognosis Male Female SARS-CoV-2 Aged
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Detection of Referable Horizontal Strabismus in Children's Primary Gaze Photographs Using Deep Learning.

Translational vision science & technology Jan 27, 2021
PURPOSE: This study implements and demonstrates a deep learning (DL) approach for screening referable horizontal strabismus based on primary gaze photographs using clinical assessments as a reference. The purpose of this study was to develop and eval...
Child ROC Curve Area Under Curve Humans Strabismus Algorithms Deep Learning
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Identifying metastatic ability of prostate cancer cell lines using native fluorescence spectroscopy and machine learning methods.

Scientific reports Jan 26, 2021
Metastasis is the leading cause of mortalities in cancer patients due to the spreading of cancer cells to various organs. Detecting cancer and identifying its metastatic potential at the early stage is important. This may be achieved based on the qua...
Tryptophan NAD Spectrometry, Fluorescence Machine Learning Cell Line, Tumor Prostatic Neoplasms Reproducibility of Results Neoplasm Metastasis Male ROC Curve Lactic Acid Humans Support Vector Machine Principal Component Analysis
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Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain.

Scientific reports Jan 26, 2021
In the United Kingdom, despite decades of control efforts, bovine tuberculosis (bTB) has not been controlled and currently costs ~ £100 m annually. Critical in the failure of control efforts has been the lack of a sufficiently sensitive diagnostic te...
United Kingdom Tuberculin Test Geography Tuberculosis, Bovine Machine Learning Algorithms Animals Farms Cattle ROC Curve
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Clinical outcome prediction from analysis of microelectrode recordings using deep learning in subthalamic deep brain stimulation for Parkinson`s disease.

PloS one Jan 26, 2021
BACKGROUND: Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is an effective treatment for improving the motor symptoms of advanced Parkinson's disease (PD). Accurate positioning of the stimulation electrodes is necessary for better clin...
Female Aged Male Middle Aged Severity of Illness Index Humans Microelectrodes Subthalamic Nucleus Area Under Curve Deep Learning Anesthesia, General ROC Curve Deep Brain Stimulation Treatment Outcome Wavelet Analysis Parkinson Disease
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Application of Machine Learning to Predict Patient No-Shows in an Academic Pediatric Ophthalmology Clinic.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Patient "no-shows" are missed appointments resulting in clinical inefficiencies, revenue loss, and discontinuity of care. Using secondary electronic health record (EHR) data, we used machine learning to predict patient no-shows in follow-up and new p...
Efficiency, Organizational ROC Curve Academic Medical Centers Ophthalmology No-Show Patients Humans Appointments and Schedules Office Visits Machine Learning Ambulatory Care Facilities Electronic Health Records Child
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Selection of Clinical Text Features for Classifying Suicide Attempts.

AMIA ... Annual Symposium proceedings. AMIA Symposium Jan 25, 2021
Research has demonstrated cohort misclassification when studies of suicidal thoughts and behaviors (STBs) rely on ICD-9/10-CM diagnosis codes. Electronic health record (EHR) data are being explored to better identify patients, a process called EHR ph...
Suicide, Attempted Cohort Studies ROC Curve Natural Language Processing Humans Electronic Health Records Data Mining Machine Learning Female International Classification of Diseases Male Algorithms Phenotype Prevalence
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Artificial-Intelligence-Enhanced Mobile System for Cardiovascular Health Management.

Sensors (Basel, Switzerland) Jan 24, 2021
The number of patients with cardiovascular diseases is rapidly increasing in the world. The workload of existing clinicians is consequently increasing. However, the number of cardiovascular clinicians is declining. In this paper, we aim to design a m...
Humans Artificial Intelligence Cardiovascular Diseases China ROC Curve Intelligence Cloud Computing
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Artificial intelligence for detection of periapical lesions on intraoral radiographs: Comparison between convolutional neural networks and human observers.

Oral surgery, oral medicine, oral pathology and oral radiology Jan 22, 2021
OBJECTIVE: The aim of this study was to compare the diagnostic performance of convolutional neural networks (CNNs) with the performance of human observers for the detection of simulated periapical lesions on periapical radiographs.
Artificial Intelligence Animals Cattle Radiologists Humans ROC Curve Radiography Neural Networks, Computer
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Machine Learning Approach for Intraocular Disease Prediction Based on Aqueous Humor Immune Mediator Profiles.

Ophthalmology Jan 21, 2021
PURPOSE: Various immune mediators have crucial roles in the pathogenesis of intraocular diseases. Machine learning can be used to automatically select and weigh various predictors to develop models maximizing predictive power. However, these techniqu...
ROC Curve Interleukins Area Under Curve Immunoassay Cross-Sectional Studies Male Middle Aged Diagnosis, Computer-Assisted Glaucoma, Open-Angle Retinal Detachment Aqueous Humor Intraocular Lymphoma Retinal Necrosis Syndrome, Acute Humans Flow Cytometry Machine Learning Inflammation Mediators Eye Diseases Female Endophthalmitis Reproducibility of Results Aged Aged, 80 and over Adult
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