AIMC Topic: ROC Curve

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Predicting malignancy in breast lesions: enhancing accuracy with fine-tuned convolutional neural network models.

BMC medical imaging Nov 11, 2024
BACKGROUND: This study aims to explore the accuracy of Convolutional Neural Network (CNN) models in predicting malignancy in Dynamic Contrast-Enhanced Breast Magnetic Resonance Imaging (DCE-BMRI).
ROC Curve Humans Contrast Media Neural Networks, Computer Magnetic Resonance Imaging Retrospective Studies Aged Image Interpretation, Computer-Assisted Adult Female Breast Neoplasms Middle Aged
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A deep learning-based method for assessing tricuspid regurgitation using continuous wave Doppler spectra.

Scientific reports Nov 11, 2024
Transthoracic echocardiography (TTE) is widely recognized as one of the principal modalities for diagnosing tricuspid regurgitation (TR). The diagnostic procedures associated with conventional methods are intricate and labor-intensive, with human err...
Tricuspid Valve Insufficiency Echocardiography, Doppler Middle Aged Severity of Illness Index Deep Learning ROC Curve Humans Female Aged Male
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Detection of breast cancer using machine learning on time-series diffuse optical transillumination data.

Journal of biomedical optics Nov 11, 2024
SIGNIFICANCE: Optical mammography as a promising tool for cancer diagnosis has largely fallen behind expectations. Modern machine learning (ML) methods offer ways to improve cancer detection in diffuse optical transmission data.
Breast ROC Curve Image Interpretation, Computer-Assisted Humans Image Processing, Computer-Assisted Optical Imaging Machine Learning Support Vector Machine Transillumination Female Area Under Curve Breast Neoplasms
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Expression of Salivary miRNAs, Clinical, and Demographic Features in the Early Detection of Gastric Cancer: A Statistical and Machine Learning Analysis.

Journal of gastrointestinal cancer Nov 9, 2024
OBJECTIVE: Gastric cancer ranks as one of the top five deadliest cancers worldwide and is often diagnosed at late stages. Analysis of saliva may provide a non-invasive approach for detection of malignancies in organs associated with the oral cavity. ...
Biomarkers, Tumor Male Middle Aged Case-Control Studies ROC Curve Gene Expression Regulation, Neoplastic Early Detection of Cancer MicroRNAs Female Aged Adult Stomach Neoplasms Humans Machine Learning Saliva
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Predictive modeling of gestational weight gain: a machine learning multiclass classification study.

BMC pregnancy and childbirth Nov 8, 2024
BACKGROUND: Gestational weight gain (GWG) is a critical factor influencing maternal and fetal health. Excessive or insufficient GWG can lead to various complications, including gestational diabetes, hypertension, cesarean delivery, low birth weight, ...
ROC Curve Body Mass Index Pregnancy Complications Gestational Weight Gain Female Humans Young Adult Machine Learning Adult Pregnancy Brazil
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Assessing polyomic risk to predict Alzheimer's disease using a machine learning model.

Alzheimer's & dementia : the journal of the Alzheimer's Association Nov 7, 2024
INTRODUCTION: Alzheimer's disease (AD) is the most common form of dementia in the elderly. Given that AD neuropathology begins decades before symptoms, there is a dire need for effective screening tools for early detection of AD to facilitate early i...
Age of Onset Apolipoproteins E Chemokines, CXC Genomics Proteomics Glial Fibrillary Acidic Protein Alzheimer Disease Aged Humans Machine Learning Male Biomarkers Deep Learning Female ROC Curve
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Enhancing mosquito classification through self-supervised learning.

Scientific reports Nov 7, 2024
Traditional mosquito identification methods, relied on microscopic observation and morphological characteristics, often require significant expertise and experience, which can limit their effectiveness. This study introduces a self-supervised learnin...
Culicidae Supervised Machine Learning Algorithms Reproducibility of Results Animals ROC Curve Image Processing, Computer-Assisted
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Random survival forest algorithm for risk stratification and survival prediction in gastric neuroendocrine neoplasms.

Scientific reports Nov 6, 2024
This study aimed to construct and assess a machine-learning algorithm designed to forecast survival rates and risk stratification for patients with gastric neuroendocrine neoplasms (gNENs) after diagnosis. Data on patients with gNENs were extracted a...
Algorithms Prognosis Female Aged Humans Machine Learning Middle Aged Risk Assessment ROC Curve SEER Program Adult Stomach Neoplasms Survival Rate Male Kaplan-Meier Estimate Neuroendocrine Tumors
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Artificial intelligence-assisted magnetic resonance imaging technology in the differential diagnosis and prognosis prediction of endometrial cancer.

Scientific reports Nov 6, 2024
It aimed to analyze the value of deep learning algorithm combined with magnetic resonance imaging (MRI) in the risk diagnosis and prognosis of endometrial cancer (EC). Based on the deep learning convolutional neural network (CNN) architecture residua...
Female Endometrial Neoplasms Artificial Intelligence Aged Adult Algorithms Humans Deep Learning Middle Aged Prognosis Neural Networks, Computer ROC Curve Retrospective Studies Magnetic Resonance Imaging Diagnosis, Differential
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Predictive modeling of COVID-19 mortality risk in chronic kidney disease patients using multiple machine learning algorithms.

Scientific reports Nov 6, 2024
The coronavirus disease 2019 (COVID-19) has a significant impact on the global population, particularly on individuals with chronic kidney disease (CKD). COVID-19 patients with CKD will face a considerably higher risk of mortality than the general po...
Algorithms Retrospective Studies Female SARS-CoV-2 Humans Machine Learning COVID-19 Middle Aged Risk Assessment ROC Curve Renal Insufficiency, Chronic Risk Factors Aged Adult Male
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