AIMC Topic: ROC Curve

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Automated Machine Learning versus Expert-Designed Models in Ocular Toxoplasmosis: Detection and Lesion Localization Using Fundus Images.

Ocular immunology and inflammation Feb 27, 2024
PURPOSE: Automated machine learning (AutoML) allows clinicians without coding experience to build their own deep learning (DL) models. This study assesses the performance of AutoML in detecting and localizing ocular toxoplasmosis (OT) lesions in fund...
Toxoplasmosis, Ocular Adult Male Humans ROC Curve Machine Learning Fundus Oculi Female
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Development of a deep learning model that predicts critical events of pediatric patients admitted to general wards.

Scientific reports Feb 27, 2024
Early detection of deteriorating patients is important to prevent life-threatening events and improve clinical outcomes. Efforts have been made to detect or prevent major events such as cardiopulmonary resuscitation, but previously developed tools ar...
ROC Curve Patients' Rooms Humans Deep Learning Retrospective Studies Adolescent Intensive Care Units Child Female Hospitalization Male
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An advanced machine learning method for simultaneous breast cancer risk prediction and risk ranking in Chinese population: A prospective cohort and modeling study.

Chinese medical journal Feb 26, 2024
BACKGROUND: Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk amon...
Humans Machine Learning Prospective Studies Female Logistic Models Risk Factors Risk Assessment Adult East Asian People Aged China Breast Neoplasms Cohort Studies Middle Aged ROC Curve
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Deep Learning based Retinal Vessel Caliber Measurement and the Association with Hypertension.

Current eye research Feb 26, 2024
PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel caliber using digital retinal photographs and evaluate the association between retinal vessel caliber and hypertension.
Retinal Vessels Deep Learning ROC Curve Hypertension Humans Blood Pressure Female Male Aged Middle Aged Case-Control Studies
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Predicting extremely low body weight from 12-lead electrocardiograms using a deep neural network.

Scientific reports Feb 26, 2024
Previous studies have successfully predicted overweight status by applying deep learning to 12-lead electrocardiogram (ECG); however, models for predicting underweight status remain unexplored. Here, we assessed the feasibility of deep learning in pr...
Humans Neural Networks, Computer Thinness ROC Curve Electrocardiography Inpatients
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Deep Learning Radiomic Analysis of MRI Combined with Clinical Characteristics Diagnoses Placenta Accreta Spectrum and its Subtypes.

Journal of magnetic resonance imaging : JMRI Feb 23, 2024
BACKGROUND: Different placenta accreta spectrum (PAS) subtypes pose varying surgical risks to the parturient. Machine learning model has the potential to diagnose PAS disorder.
Placenta Accreta Placenta Previa Pregnancy Female Adult Radiomics Deep Learning ROC Curve Magnetic Resonance Imaging Humans Retrospective Studies
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Development and Preliminary Validation of a Novel Convolutional Neural Network Model for Predicting Treatment Response in Patients with Unresectable Hepatocellular Carcinoma Receiving Hepatic Arterial Infusion Chemotherapy.

Journal of imaging informatics in medicine Feb 23, 2024
The goal of this study was to evaluate the performance of a convolutional neural network (CNN) with preoperative MRI and clinical factors in predicting the treatment response of unresectable hepatocellular carcinoma (HCC) patients receiving hepatic a...
Treatment Outcome Magnetic Resonance Imaging Hepatic Artery Infusions, Intra-Arterial Humans Antineoplastic Agents Neural Networks, Computer ROC Curve Adult Retrospective Studies Liver Neoplasms Male Female Carcinoma, Hepatocellular Middle Aged Aged
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Integrated machine learning and deep learning for predicting diabetic nephropathy model construction, validation, and interpretability.

Endocrine Feb 23, 2024
OBJECTIVE: To construct a risk prediction model for assisted diagnosis of Diabetic Nephropathy (DN) using machine learning algorithms, and to validate it internally and externally.
Middle Aged Deep Learning ROC Curve Diabetic Nephropathies Reproducibility of Results Aged Male Humans Machine Learning Female
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Improved detection of cholesterol gallstones using quasi-material decomposition images generated from single-energy computed tomography images via deep learning.

Radiological physics and technology Feb 23, 2024
In this study, we developed a method for generating quasi-material decomposition (quasi-MD) images from single-energy computed tomography (SECT) images using a deep convolutional neural network (DCNN). Our aim was to improve the detection of choleste...
Aged Adult Male Middle Aged Humans Tomography, X-Ray Computed Female Cholesterol Gallstones Deep Learning ROC Curve Image Processing, Computer-Assisted
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Towards an EKG for SBO: A Neural Network for Detection and Characterization of Bowel Obstruction on CT.

Journal of imaging informatics in medicine Feb 22, 2024
A neural network was developed to detect and characterize bowel obstruction, a common cause of acute abdominal pain. In this retrospective study, 202 CT scans of 165 patients with bowel obstruction from March to June 2022 were included and partitione...
Neural Networks, Computer Retrospective Studies Tomography, X-Ray Computed Female Humans Middle Aged ROC Curve Intestinal Obstruction Intestine, Small Aged Adult Sensitivity and Specificity Male
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