AIMC Topic: ROC Curve

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Machine learning methods for automated classification of tumors with papillary thyroid carcinoma-like nuclei: A quantitative analysis.

PloS one Sep 22, 2021
When approaching thyroid gland tumor classification, the differentiation between samples with and without "papillary thyroid carcinoma-like" nuclei is a daunting task with high inter-observer variability among pathologists. Thus, there is increasing ...
Thyroid Cancer, Papillary Humans Machine Learning ROC Curve Thyroid Neoplasms Image Processing, Computer-Assisted Area Under Curve Automation
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Machine Learning Models for Survival and Neurological Outcome Prediction of Out-of-Hospital Cardiac Arrest Patients.

BioMed research international Sep 17, 2021
BACKGROUND: Out-of-hospital cardiac arrest (OHCA) is a major health problem worldwide, and neurologic injury remains the leading cause of morbidity and mortality among survivors of OHCA. The purpose of this study was to investigate whether a machine ...
ROC Curve Predictive Value of Tests Female Humans Models, Cardiovascular Area Under Curve Machine Learning Aged Out-of-Hospital Cardiac Arrest Survival Analysis Algorithms Sensitivity and Specificity Brain Male
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Decision making on vestibular schwannoma treatment: predictions based on machine-learning analysis.

Scientific reports Sep 15, 2021
Decision making on the treatment of vestibular schwannoma (VS) is mainly based on the symptoms, tumor size, patient's preference, and experience of the medical team. Here we provide objective tools to support the decision process by answering two que...
Neuroma, Acoustic Disease Management Hearing Symptom Assessment Hearing Tests Humans Male Machine Learning Middle Aged Clinical Decision-Making ROC Curve Decision Trees Supervised Machine Learning Female Reproducibility of Results Aged Adult
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Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data.

Scientific reports Sep 15, 2021
Our aim was to investigate the usefulness of machine learning approaches on linked administrative health data at the population level in predicting older patients' one-year risk of acute coronary syndrome and death following the use of non-steroidal ...
Female Risk Factors Male Risk Assessment Models, Theoretical Australia Anti-Inflammatory Agents, Non-Steroidal Comorbidity ROC Curve Proportional Hazards Models Humans Disease Susceptibility Area Under Curve Machine Learning Cause of Death Prognosis Disease Management Acute Coronary Syndrome
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ECG data dependency for atrial fibrillation detection based on residual networks.

Scientific reports Sep 14, 2021
Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, deep learning models were often trained with l...
Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Deep Learning Atrial Fibrillation Humans ROC Curve Neural Networks, Computer Electrocardiography Algorithms
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Preoperative prediction of postoperative urinary retention in lumbar surgery: a comparison of regression to multilayer neural network.

Journal of neurosurgery. Spine Sep 10, 2021
OBJECTIVE: Postoperative urinary retention (POUR) is a common complication after spine surgery and is associated with prolongation of hospital stay, increased hospital cost, increased rate of urinary tract infection, bladder overdistention, and auton...
Adult Male Middle Aged Postoperative Complications ROC Curve Female Reproducibility of Results Risk Factors Aged Spinal Diseases Regression Analysis Predictive Value of Tests Lumbar Vertebrae Urinary Retention Neural Networks, Computer Machine Learning Retrospective Studies Humans
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Geometric and biomechanical modeling aided by machine learning improves the prediction of growth and rupture of small abdominal aortic aneurysms.

Scientific reports Sep 10, 2021
It remains difficult to predict when which patients with abdominal aortic aneurysm (AAA) will require surgery. The aim was to study the accuracy of geometric and biomechanical analysis of small AAAs to predict reaching the threshold for surgery, diam...
Disease Management Aorta, Abdominal Computed Tomography Angiography Models, Cardiovascular Aortic Rupture Biomechanical Phenomena ROC Curve Aortic Aneurysm, Abdominal Area Under Curve Algorithms Humans Prognosis Machine Learning Tomography, X-Ray Computed Clinical Decision-Making
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Glomerular disease classification and lesion identification by machine learning.

Biomedical journal Sep 8, 2021
BACKGROUND: Classification of glomerular diseases and identification of glomerular lesions require careful morphological examination by experienced nephropathologists, which is labor-intensive, time-consuming, and prone to interobserver variability. ...
Humans Neural Networks, Computer Machine Learning Deep Learning ROC Curve Image Processing, Computer-Assisted
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Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

BMC pregnancy and childbirth Sep 7, 2021
BACKGROUND: Babies born early and/or small for gestational age in Low and Middle-income countries (LMICs) contribute substantially to global neonatal and infant mortality. Tracking this metric is critical at a population level for informed policy, ad...
Neonatal Screening Gestational Age Asia Algorithms Prospective Studies Infant, Newborn Pregnancy Premature Birth Female Humans Male Machine Learning Metabolomics Ultrasonography, Prenatal Cohort Studies Developing Countries ROC Curve Africa South of the Sahara
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Stratifying the Risk of Cardiovascular Disease in Obstructive Sleep Apnea Using Machine Learning.

The Laryngoscope Sep 6, 2021
OBJECTIVES/HYPOTHESIS: Obstructive sleep apnea (OSA) is associated with higher risk of morbidity and mortality related to cardiovascular disease (CVD). Due to overlapping clinical risk factors, identifying high-risk patients with OSA who are likely t...
Machine Learning Algorithms Retrospective Studies Female Risk Factors Cardiovascular Diseases Humans Middle Aged Risk Assessment Aged ROC Curve Aged, 80 and over Sleep Apnea, Obstructive Sensitivity and Specificity Male
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