AIMC Topic: ROC Curve

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A stroke prediction framework using explainable ensemble learning.

Computer methods in biomechanics and biomedical engineering Feb 21, 2024
The death of brain cells occurs when blood flow to a particular area of the brain is abruptly cut off, resulting in a stroke. Early recognition of stroke symptoms is essential to prevent strokes and promote a healthy lifestyle. FAST tests (looking fo...
Risk Factors ROC Curve Stroke Ensemble Learning Humans Machine Learning
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Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network.

Clinical breast cancer Feb 20, 2024
OBJECTIVES: To develop predictive nomograms based on clinical and ultrasound features and to improve the clinical strategy for US BI-RADS 4A lesions.
Female Humans Ultrasonography, Mammary Aged Neural Networks, Computer Breast Neoplasms Adult Breast Nomograms Retrospective Studies Middle Aged Follow-Up Studies Deep Learning Biopsy ROC Curve
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An integrated machine learning-based model for joint diagnosis of ovarian cancer with multiple test indicators.

Journal of ovarian research Feb 20, 2024
OBJECTIVE: To construct a machine learning diagnostic model integrating feature dimensionality reduction techniques and artificial neural network classifiers to develop the value of clinical routine blood indexes for the auxiliary diagnosis of ovaria...
Humans Reproducibility of Results Neural Networks, Computer Ovarian Neoplasms Machine Learning ROC Curve Image Processing, Computer-Assisted Female Magnetic Resonance Imaging
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A Histopathologic Image Analysis for the Classification of Endocervical Adenocarcinoma Silva Patterns Depend on Weakly Supervised Deep Learning.

The American journal of pathology Feb 19, 2024
Twenty-five percent of cervical cancers are classified as endocervical adenocarcinomas (EACs), which comprise a highly heterogeneous group of tumors. A histopathologic risk stratification system known as the Silva pattern system was developed based o...
Humans Deep Learning Female Neural Networks, Computer ROC Curve Tumor Microenvironment Adenocarcinoma Uterine Cervical Neoplasms
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Development and Validation of Interpretable Machine Learning Models for Clinically Significant Prostate Cancer Diagnosis in Patients With Lesions of PI-RADS v2.1 Score ≥3.

Journal of magnetic resonance imaging : JMRI Feb 16, 2024
BACKGROUND: For patients with PI-RADS v2.1 ≥ 3, prostate biopsy is strongly recommended. Due to the unsatisfactory positive rate of biopsy, improvements in clinically significant prostate cancer (csPCa) risk assessments are required.
Prostate Biopsy Image Interpretation, Computer-Assisted ROC Curve Humans Diffusion Magnetic Resonance Imaging Male Magnetic Resonance Imaging Machine Learning Echo-Planar Imaging Middle Aged Prostatic Neoplasms Retrospective Studies Risk Assessment Prostate-Specific Antigen Reproducibility of Results Aged
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Deep Learning for Automated Detection and Localization of Traumatic Abdominal Solid Organ Injuries on CT Scans.

Journal of imaging informatics in medicine Feb 16, 2024
Computed tomography (CT) is the most commonly used diagnostic modality for blunt abdominal trauma (BAT), significantly influencing management approaches. Deep learning models (DLMs) have shown great promise in enhancing various aspects of clinical pr...
Humans Retrospective Studies Wounds, Nonpenetrating Tomography, X-Ray Computed Female Aged Liver Spleen Abdominal Injuries Middle Aged Deep Learning Adult ROC Curve Sensitivity and Specificity Kidney Male
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Examining arterial pulsation to identify and risk-stratify heart failure subjects with deep neural network.

Physical and engineering sciences in medicine Feb 15, 2024
Hemodynamic parameters derived from pulse wave analysis have been shown to predict long-term outcomes in patients with heart failure (HF). Here we aimed to develop a deep-learning based algorithm that incorporates pressure waveforms for the identific...
Middle Aged Risk Assessment Case-Control Studies Deep Learning Female Aged Male Arteries ROC Curve Pulse Wave Analysis Heart Failure Proportional Hazards Models Humans Neural Networks, Computer
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MRM-BERT: a novel deep neural network predictor of multiple RNA modifications by fusing BERT representation and sequence features.

RNA biology Feb 15, 2024
RNA modifications play crucial roles in various biological processes and diseases. Accurate prediction of RNA modification sites is essential for understanding their functions. In this study, we propose a hybrid approach that fuses a pre-trained sequ...
RNA Neural Networks, Computer Software ROC Curve
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Machine learning models to evaluate mortality in pediatric patients with pneumonia in the intensive care unit.

Pediatric pulmonology Feb 14, 2024
OBJECTIVES: This study aimed to predict mortality in children with pneumonia who were admitted to the intensive care unit (ICU) to aid decision-making.
Humans Machine Learning Retrospective Studies Hospital Mortality Intensive Care Units, Pediatric ROC Curve Taiwan Pneumonia Infant Intensive Care Units Adolescent Female Child, Preschool Male Child
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DeepAlienorNet: A deep learning model to extract clinical features from colour fundus photography in age-related macular degeneration.

Acta ophthalmologica Feb 12, 2024
OBJECTIVE: This study aimed to develop a deep learning (DL) model, named 'DeepAlienorNet', to automatically extract clinical signs of age-related macular degeneration (AMD) from colour fundus photography (CFP).
Deep Learning ROC Curve Fundus Oculi Macular Degeneration Aged Aged, 80 and over Male Photography Retinal Drusen Humans Female
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