AIMC Topic: ROC Curve

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Deep learning to detect left ventricular structural abnormalities in chest X-rays.

European heart journal Jun 7, 2024
BACKGROUND AND AIMS: Early identification of cardiac structural abnormalities indicative of heart failure is crucial to improving patient outcomes. Chest X-rays (CXRs) are routinely conducted on a broad population of patients, presenting an opportuni...
Aged Radiography, Thoracic Male Hypertrophy, Left Ventricular Echocardiography Middle Aged Deep Learning ROC Curve Heart Ventricles Heart Failure Humans Female
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Predicting Glaucoma Surgical Outcomes Using Neural Networks and Machine Learning on Electronic Health Records.

Translational vision science & technology Jun 3, 2024
PURPOSE: To develop machine learning (ML) and deep learning (DL) models to predict glaucoma surgical outcomes, including postoperative intraocular pressure, use of ocular antihypertensive medications, and need for repeat surgery.
Electronic Health Records Female Aged Intraocular Pressure Neural Networks, Computer Male Treatment Outcome Glaucoma Middle Aged Antihypertensive Agents Humans Machine Learning Deep Learning ROC Curve Retrospective Studies
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Assessing the Efficacy of Synthetic Optic Disc Images for Detecting Glaucomatous Optic Neuropathy Using Deep Learning.

Translational vision science & technology Jun 3, 2024
PURPOSE: Deep learning architectures can automatically learn complex features and patterns associated with glaucomatous optic neuropathy (GON). However, developing robust algorithms requires a large number of data sets. We sought to train an adversar...
Humans Glaucoma Algorithms Female Optic Disk Optic Nerve Diseases Male Middle Aged Deep Learning ROC Curve
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[Personalized glycemic management for patients with diabetic ketoacidosis based on machine learning].

Zhonghua wei zhong bing ji jiu yi xue Jun 1, 2024
OBJECTIVE: To explore the optimal blood glucose-lowering strategies for patients with diabetic ketoacidosis (DKA) to enhance personalized treatment effects using machine learning techniques based on the United States Critical Care Medical Information...
Hypoglycemia Glasgow Coma Scale Hypokalemia Humans Male Blood Glucose Machine Learning ROC Curve Precision Medicine Diabetic Ketoacidosis Intensive Care Units Female
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Comparing the accuracy of four machine learning models in predicting type 2 diabetes onset within the Chinese population: a retrospective study.

The Journal of international medical research Jun 1, 2024
OBJECTIVE: To evaluate the effectiveness of machine learning (ML) models in predicting 5-year type 2 diabetes mellitus (T2DM) risk within the Chinese population by retrospectively analyzing annual health checkup records.
East Asian People Adult Male Middle Aged China Diabetes Mellitus, Type 2 Retrospective Studies Blood Glucose Logistic Models Female Humans ROC Curve Support Vector Machine Risk Factors Machine Learning Aged
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[Deep transfer learning radiomics model based on temporal bone CT for assisting in the diagnosis of inner ear malformations].

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery Jun 1, 2024
To evaluate the diagnostic efficacy of traditional radiomics, deep learning, and deep learning radiomics in differentiating normal and inner ear malformations on temporal bone computed tomography（CT）. A total of 572 temporal bone CT data were retrosp...
Deep Learning ROC Curve Ear, Inner Temporal Bone Female Humans Sensitivity and Specificity Retrospective Studies Radiomics Tomography, X-Ray Computed Male
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Machine learning-based identification of a cell death-related signature associated with prognosis and immune infiltration in glioma.

Journal of cellular and molecular medicine Jun 1, 2024
Accumulating evidence suggests that a wide variety of cell deaths are deeply involved in cancer immunity. However, their roles in glioma have not been explored. We employed a logistic regression model with the shrinkage regularization operator (LASSO...
Gene Expression Profiling Transcriptome ROC Curve Gene Expression Regulation, Neoplastic Biomarkers, Tumor Brain Neoplasms Male Middle Aged Myeloid Differentiation Factor 88 Nomograms Glioma Lymphocytes, Tumor-Infiltrating Cell Death Humans Machine Learning Prognosis Female
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AUTOMATED DETECTION OF VITRITIS USING ULTRAWIDE-FIELD FUNDUS PHOTOGRAPHS AND DEEP LEARNING.

Retina (Philadelphia, Pa.) Jun 1, 2024
BACKGROUND/PURPOSE: Evaluate the performance of a deep learning algorithm for the automated detection and grading of vitritis on ultrawide-field imaging.
Algorithms Female Adult Cross-Sectional Studies Humans Neural Networks, Computer Uveitis Fundus Oculi Eye Diseases Vitreous Body Photography Male Middle Aged Deep Learning ROC Curve
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[An artificial neural network diagnostic model for scleroderma and immune cell infiltration analysis based on mitochondria-associated genes].

Nan fang yi ke da xue xue bao = Journal of Southern Medical University May 20, 2024
OBJECTIVE: To establish a diagnostic model for scleroderma by combining machine learning and artificial neural network based on mitochondria-related genes.
Biomarkers Humans Animals Gene Expression Profiling Neural Networks, Computer ROC Curve Machine Learning Mice Scleroderma, Systemic Algorithms Computational Biology Disease Models, Animal Mitochondria
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Development and external validation of deep learning clinical prediction models using variable-length time series data.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVES: To compare and externally validate popular deep learning model architectures and data transformation methods for variable-length time series data in 3 clinical tasks (clinical deterioration, severe acute kidney injury [AKI], and suspected...
Deep Learning ROC Curve Datasets as Topic Acute Kidney Injury Female Male Middle Aged Humans Neural Networks, Computer Retrospective Studies
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