AIMC Topic: ROC Curve

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Personalised Speech-Based PTSD Prediction Using Weighted-Instance Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Post-traumatic stress disorder (PTSD) is a prevalent disorder that can develop in people who have experienced very stressful, shocking, or distressing events. It has great influence on peoples' daily life and can affect their mental, physical, or soc...
Male Speech Precision Medicine Female Stress Disorders, Post-Traumatic Adult Humans Machine Learning ROC Curve
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Detection of pre-mRNA involved in abnormal splicing using Graph Neural Network and Nearest Correlation Method.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
BACKGROUND: DNA is the building block of genetic information, and is composed of alternating sequences of exons with genetic information and introns without no genetic information. DNA is damaged by normal metabolic activities and environmental facto...
Humans Graph Neural Networks Polymorphism, Single Nucleotide Algorithms Neural Networks, Computer RNA Precursors ROC Curve RNA Splicing
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Enhancing sleep stage classification with 2-class stratification and permutation-based channel selection.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
We present a method that uses a convolutional neural network (CNN) called EEGNeX to extract and classify the characteristics of sleep-related waveforms from electroencephalographic (EEG) signals in different stages of sleep. Our results showed that t...
Signal Processing, Computer-Assisted Sleep Stages Algorithms ROC Curve Electroencephalography Humans Neural Networks, Computer
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Noninvasive detection of diabetes in obstructive sleep apnea based on overnight SpO signal and deep learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The prevalence of obstructive sleep apnea comorbid with diabetes is high while the awareness of diabetes is low. There is a strong need for new diagnostic biomarkers to detect diabetes at an early stage. Therefore, we aimed to establish an automatic,...
Male Middle Aged Deep Learning ROC Curve Diabetes Mellitus Signal Processing, Computer-Assisted Oxygen Sleep Apnea, Obstructive Humans Female Aged
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Electrocardiographic Classification using Deep Learning with Lead Switching.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
The classification algorithms of rhythm and morphology abnormalities in electrocardiogram (ECG) signals have been widely studied. However, the existing study uses ECGs with fixed leads. We propose a neural network-based method to improve the ECG clas...
ROC Curve Neural Networks, Computer Electrocardiography Algorithms Signal Processing, Computer-Assisted Deep Learning Humans
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Exploring Random Forest Machine Learning for Fetal Movement Detection using Abdominal Acceleration and Angular Rate Data.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Fetal movement is a commonly monitored indicator of fetal wellbeing with reductions in fetal movement being associated with poor perinatal outcomes. However, more informative datasets of fetal movement are required for improved clinical decision maki...
Fetal Monitoring Random Forest Fetal Movement Acceleration Accelerometry Adult Pregnancy ROC Curve Female Abdomen Humans Machine Learning Algorithms
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Cough Sound Based Deep Learning Models for Diagnosis of COVID-19 Using Statistical Features and Time-Frequency Spectrum.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
This paper presents a deep learning model that can classify COVID-19 patients through cough sounds. The cough sound data were selected from the Cambridge data set which is a crowedsourced data set collected from the Cambridge COVID-19 sounds applicat...
Deep Learning ROC Curve Cough COVID-19 SARS-CoV-2 Sound Spectrography Humans
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EEG Tensorization Enhances CNN-Based Outcome Classification in Comatose Patients Following a Cardiac Arrest.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Standard diagnostic methods for evaluating the severity of brain injuries resulting from cardiac arrest, such as the Glasgow Coma Scale, exhibit subjective biases that lead to potentially fatal misclassifications, where life-support systems are prema...
Algorithms ROC Curve Electroencephalography Humans Neural Networks, Computer Coma Signal Processing, Computer-Assisted Heart Arrest
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Explainable Multimodal Deep Learning for Heart Sounds and Electrocardiogram Classification.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
We introduce a Gradient-weighted Class Activation Mapping (Grad-CAM) methodology to assess the performance of five distinct models for binary classification (normal/abnormal) of synchronized heart sounds and electrocardiograms. The applied models com...
Algorithms Humans Deep Learning Neural Networks, Computer Electrocardiography ROC Curve Signal Processing, Computer-Assisted Heart Sounds
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SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images.

Translational vision science & technology Jul 1, 2024
PURPOSE: Several machine learning studies have used optical coherence tomography (OCT) for multiple sclerosis (MS) classification with promising outcomes. Infrared reflectance scanning laser ophthalmoscopy (IR-SLO) captures high-resolution fundus ima...
Female Adult Multiple Sclerosis Male Infrared Rays Humans Ophthalmoscopy Neural Networks, Computer Middle Aged Machine Learning ROC Curve Tomography, Optical Coherence
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