AIMC Topic: ROC Curve

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Prediction of Sepsis in COVID-19 Using Laboratory Indicators.

Frontiers in cellular and infection microbiology Mar 2, 2021
BACKGROUND: The outbreak of coronavirus disease 2019 (COVID-19) has become a global public health concern. Many inpatients with COVID-19 have shown clinical symptoms related to sepsis, which will aggravate the deterioration of patients' condition. We...
Adult Retrospective Studies Humans Sepsis Female ROC Curve Male Machine Learning SARS-CoV-2 Middle Aged COVID-19 Logistic Models Risk Factors China Prognosis COVID-19 Testing Aged
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Use of Machine Learning to Develop and Evaluate Models Using Preoperative and Intraoperative Data to Identify Risks of Postoperative Complications.

JAMA network open Mar 1, 2021
IMPORTANCE: Postoperative complications can significantly impact perioperative care management and planning.
Preoperative Period Male Middle Aged Risk Assessment Postoperative Complications Humans Incidence Machine Learning Retrospective Studies Female Risk Factors ROC Curve Decision Support Systems, Clinical United States Follow-Up Studies Intraoperative Period
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Machine learning and bioinformatic analysis of brain and blood mRNA profiles in major depressive disorder: A case-control study.

American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics Mar 1, 2021
This study analyzed gene expression messenger RNA data, from cases with major depressive disorder (MDD) and controls, using supervised machine learning (ML). We built on the methodology of prior studies to obtain more generalizable/reproducible resul...
Brain Female Aged Aged, 80 and over Adolescent Young Adult Cohort Studies ROC Curve Computational Biology Humans RNA, Messenger Machine Learning Biomarkers Adult Male Middle Aged Depressive Disorder, Major Case-Control Studies
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Optimizing predictive strategies for acute kidney injury after major vascular surgery.

Surgery Feb 27, 2021
BACKGROUND: Postoperative acute kidney injury is common after major vascular surgery and is associated with increased morbidity, mortality, and cost. High-performance risk stratification using a machine learning model can inform strategies that mitig...
Risk Assessment Postoperative Complications Comorbidity ROC Curve Vascular Surgical Procedures Electronic Health Records Female Aged Male Middle Aged Humans Machine Learning Retrospective Studies Acute Kidney Injury
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Deep learning differentiates between healthy and diabetic mouse ears from optical coherence tomography angiography images.

Annals of the New York Academy of Sciences Feb 26, 2021
We trained a deep learning algorithm to use skin optical coherence tomography (OCT) angiograms to differentiate between healthy and type 2 diabetic mice. OCT angiograms were acquired with a custom-built OCT system based on an akinetic swept laser at ...
Machine Learning Ear Case-Control Studies Mice Algorithms Deep Learning Female ROC Curve Diagnosis, Differential Reproducibility of Results Image Processing, Computer-Assisted Tomography, Optical Coherence Animals Diabetes Mellitus, Experimental Angiography
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Diffusion histology imaging differentiates distinct pediatric brain tumor histology.

Scientific reports Feb 26, 2021
High-grade pediatric brain tumors exhibit the highest cancer mortality rates in children. While conventional MRI has been widely adopted for examining pediatric high-grade brain tumors clinically, accurate neuroimaging detection and differentiation o...
White Matter Humans Diffusion Magnetic Resonance Imaging Neural Networks, Computer Female Brain Neoplasms Male Adolescent Child ROC Curve Neoplasm Grading
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Predicting neurological outcome after out-of-hospital cardiac arrest with cumulative information; development and internal validation of an artificial neural network algorithm.

Critical care (London, England) Feb 25, 2021
BACKGROUND: Prognostication of neurological outcome in patients who remain comatose after cardiac arrest resuscitation is complex. Clinical variables, as well as biomarkers of brain injury, cardiac injury, and systemic inflammation, all yield some pr...
Prospective Studies Risk Assessment Aged Humans Biomarkers ROC Curve Neural Networks, Computer Adult Prognosis Area Under Curve Male Retrospective Studies Out-of-Hospital Cardiac Arrest Middle Aged Female
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Prediction of Patient Management in COVID-19 Using Deep Learning-Based Fully Automated Extraction of Cardiothoracic CT Metrics and Laboratory Findings.

Korean journal of radiology Feb 24, 2021
OBJECTIVE: To extract pulmonary and cardiovascular metrics from chest CTs of patients with coronavirus disease 2019 (COVID-19) using a fully automated deep learning-based approach and assess their potential to predict patient management.
SARS-CoV-2 ROC Curve COVID-19 Male Aged Humans Retrospective Studies Aged, 80 and over Logistic Models Middle Aged Tomography, X-Ray Computed Young Adult Lung Area Under Curve Female Adult Automation Deep Learning Thorax Adolescent
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Development and Validation of Machine Learning-based Model for the Prediction of Malignancy in Multiple Pulmonary Nodules: Analysis from Multicentric Cohorts.

Clinical cancer research : an official journal of the American Association for Cancer Research Feb 24, 2021
PURPOSE: Nodule evaluation is challenging and critical to diagnose multiple pulmonary nodules (MPNs). We aimed to develop and validate a machine learning-based model to estimate the malignant probability of MPNs to guide decision-making.
Humans Machine Learning Prospective Studies Tomography, X-Ray Computed Adult Male Middle Aged Risk Assessment Lung Clinical Decision-Making Female Aged Aged, 80 and over Young Adult Adolescent ROC Curve Lung Neoplasms Multiple Pulmonary Nodules
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Ensembled deep learning model outperforms human experts in diagnosing biliary atresia from sonographic gallbladder images.

Nature communications Feb 24, 2021
It is still challenging to make accurate diagnosis of biliary atresia (BA) with sonographic gallbladder images particularly in rural area without relevant expertise. To help diagnose BA based on sonographic gallbladder images, an ensembled deep learn...
Biliary Atresia Deep Learning Ultrasonography ROC Curve Gallbladder Humans
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