AIMC Topic: ROC Curve

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Monitoring Approaches for a Pediatric Chronic Kidney Disease Machine Learning Model.

Applied clinical informatics May 4, 2022
OBJECTIVE: The purpose of this study is to evaluate the ability of three metrics to monitor for a reduction in performance of a chronic kidney disease (CKD) model deployed at a pediatric hospital.
Renal Insufficiency, Chronic Benchmarking Models, Biological Child ROC Curve Prospective Studies Retrospective Studies Computer Simulation Female Humans Risk Factors Hospitalization Male Machine Learning
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Leveraging machine learning tools and algorithms for analysis of fruit fly morphometrics.

Scientific reports May 3, 2022
Analysis of landmark-based morphometric measurements taken on body parts of insects have been a useful taxonomic approach alongside DNA barcoding in insect identification. Statistical analysis of morphometrics have largely been dominated by tradition...
ROC Curve Neural Networks, Computer Support Vector Machine Machine Learning Algorithms
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Development and Validation of an Explainable Machine Learning Model for Major Complications After Cytoreductive Surgery.

JAMA network open May 2, 2022
IMPORTANCE: Cytoreductive surgery (CRS) is one of the most complex operations in surgical oncology with significant morbidity, and improved risk prediction tools are critically needed. Machine learning models can potentially overcome the limitations ...
Male Machine Learning Humans Artificial Intelligence Logistic Models Female Cytoreduction Surgical Procedures ROC Curve
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A Hybrid Approach for Approximating the Ideal Observer for Joint Signal Detection and Estimation Tasks by Use of Supervised Learning and Markov-Chain Monte Carlo Methods.

IEEE transactions on medical imaging May 2, 2022
The ideal observer (IO) sets an upper performance limit among all observers and has been advocated for assessing and optimizing imaging systems. For general joint detection and estimation (detection-estimation) tasks, estimation ROC (EROC) analysis h...
Computer Simulation Supervised Machine Learning ROC Curve Markov Chains Bayes Theorem Monte Carlo Method
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Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors.

Journal of environmental management Apr 29, 2022
Complex interrelationships between landscape-level geoenvironmental factors and natural phenomena have rendered land degradation control measures ineffective. For control to be effective, this study argues that the interactions between different geoe...
Retrospective Studies ROC Curve Machine Learning Bayes Theorem Altitude
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Machine Learning-Assisted Preoperative Diagnosis of Infection Stones in Urolithiasis Patients.

Journal of endourology Apr 28, 2022
The decision-making of how to treat urinary infection stones was complicated by the difficulty in preoperative diagnosis of these stones. Hence, we developed machine learning (ML) models that can be leveraged to discriminate between infection and no...
Risk Assessment ROC Curve Logistic Models Humans Machine Learning Urolithiasis
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Learning to predict in-hospital mortality risk in the intensive care unit with attention-based temporal convolution network.

BMC anesthesiology Apr 23, 2022
BACKGROUND: Dynamic prediction of patient mortality risk in the ICU with time series data is limited due to high dimensionality, uncertainty in sampling intervals, and other issues. A new deep learning method, temporal convolution network (TCN), make...
Hospitalization Hospital Mortality ROC Curve Humans Artificial Intelligence Intensive Care Units
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Implementation of a machine learning application in preoperative risk assessment for hip repair surgery.

BMC anesthesiology Apr 23, 2022
BACKGROUND: This study aims to develop a machine learning-based application in a real-world medical domain to assist anesthesiologists in assessing the risk of complications in patients after a hip surgery.
Hospital Mortality ROC Curve Area Under Curve Adult Risk Assessment Humans Retrospective Studies Intensive Care Units Machine Learning
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Environmental and clinical data utility in pediatric asthma exacerbation risk prediction models.

BMC medical informatics and decision making Apr 22, 2022
BACKGROUND: Asthma exacerbations are triggered by a variety of clinical and environmental factors, but their relative impacts on exacerbation risk are unclear. There is a critical need to develop methods to identify children at high-risk for future e...
ROC Curve Asthma Child Retrospective Studies Electronic Health Records Humans Machine Learning
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KeratoScreen: Early Keratoconus Classification With Zernike Polynomial Using Deep Learning.

Cornea Apr 20, 2022
PURPOSE: We aimed to investigate the usefulness of Zernike coefficients (ZCs) for distinguishing subclinical keratoconus (KC) from normal corneas and to evaluate the goodness of detection of the entire corneal topography and tomography characteristic...
Keratoconus Corneal Topography Deep Learning Adolescent Retrospective Studies ROC Curve Sensitivity and Specificity Young Adult Humans Cornea Adult Algorithms
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