AIMC Topic: Female

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WaveSleepNet: An Interpretable Network for Expert-Like Sleep Staging.

IEEE journal of biomedical and health informatics Feb 10, 2025
Although deep learning algorithms have proven their efficiency in automatic sleep staging, their "black-box" nature has limited their clinical adoption. In this study, we propose WaveSleepNet, an interpretable neural network for sleep staging that re...
Polysomnography Sleep Stages Deep Learning Electroencephalography Signal Processing, Computer-Assisted Algorithms Female Adult Male Humans Neural Networks, Computer
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A Deep Reinforcement Learning-Based Feature Selection Method for Invasive Disease Event Prediction Using Imbalanced Follow-Up Data.

IEEE journal of biomedical and health informatics Feb 10, 2025
The machine learning-based model is a promising paradigm for predicting invasive disease events (iDEs) in breast cancer. Feature selection (FS) is an essential preprocessing technique employed to identify the pertinent features for the prediction mod...
Prognosis Female Breast Neoplasms Reinforcement Machine Learning Neoplasm Invasiveness Datasets as Topic Humans
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Comparing Phenotypes for Acute and Long-Term Response to Atrial Fibrillation Ablation Using Machine Learning.

Circulation. Arrhythmia and electrophysiology Feb 10, 2025
BACKGROUND: It is difficult to identify patients with atrial fibrillation (AF) most likely to respond to ablation. While any arrhythmia patient may recur after acutely successful ablation, AF is unusual in that patients may have long-term arrhythmia ...
Heart Rate Time Factors Catheter Ablation Electrocardiography Electrophysiologic Techniques, Cardiac Treatment Outcome Humans Registries Aged Atrial Fibrillation Male Action Potentials Middle Aged Predictive Value of Tests Machine Learning Phenotype Female
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SleepECG-Net: Explainable Deep Learning Approach With ECG for Pediatric Sleep Apnea Diagnosis.

IEEE journal of biomedical and health informatics Feb 10, 2025
Obstructive sleep apnea (OSA) in children is a prevalent and serious respiratory condition linked to cardiovascular morbidity. Polysomnography, the standard diagnostic approach, faces challenges in accessibility and complexity, leading to underdiagno...
Sleep Apnea Syndromes Sleep Apnea, Obstructive Polysomnography Diagnosis, Computer-Assisted Deep Learning Adolescent Electrocardiography Signal Processing, Computer-Assisted Child, Preschool Child Humans Female Male
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Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods.

IEEE journal of biomedical and health informatics Feb 10, 2025
The future of artificial intelligence (AI) safety is expected to include bias mitigation methods from development to application. The complexity and integration of these methods could grow in conjunction with advances in AI and human-AI interactions....
Humans Artificial Intelligence COVID-19 Bias Radiography, Thoracic Female SARS-CoV-2 Male
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UnBias: Unveiling Bias Implications in Deep Learning Models for Healthcare Applications.

IEEE journal of biomedical and health informatics Feb 10, 2025
The rapid integration of deep learning-powered artificial intelligence systems in diverse applications such as healthcare, credit assessment, employment, and criminal justice has raised concerns about their fairness, particularly in how they handle v...
Humans Neural Networks, Computer Male Deep Learning COVID-19 Bias Female SARS-CoV-2
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EEG Temporal-Spatial Feature Learning for Automated Selection of Stimulus Parameters in Electroconvulsive Therapy.

IEEE journal of biomedical and health informatics Feb 10, 2025
The risk of adverse effects in Electroconvulsive Therapy (ECT), such as cognitive impairment, can be high if an excessive stimulus is applied to induce the necessary generalized seizure (GS); Conversely, inadequate stimulus results in failure. Recent...
Seizures Humans Signal Processing, Computer-Assisted Machine Learning Electroconvulsive Therapy Middle Aged Female Electroencephalography Adult Male
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A Multimodal Consistency-Based Self-Supervised Contrastive Learning Framework for Automated Sleep Staging in Patients With Disorders of Consciousness.

IEEE journal of biomedical and health informatics Feb 10, 2025
Sleep is a fundamental human activity, and automated sleep staging holds considerable investigational potential. Despite numerous deep learning methods proposed for sleep staging that exhibit notable performance, several challenges remain unresolved,...
Humans Female Adult Male Supervised Machine Learning Sleep Stages Deep Learning Electrooculography Consciousness Disorders Electroencephalography Signal Processing, Computer-Assisted
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Unlocking Dreams and Dreamless Sleep: Machine Learning Classification With Optimal EEG Channels.

BioMed research international Feb 10, 2025
Research suggests that dreams play a role in the regulation of emotional processing and memory consolidation; electroencephalography (EEG) is useful for studying them, but manual annotation is time-consuming and prone to bias. This study was aimed at...
Electroencephalography Female Sleep Humans Dreams Machine Learning Sleep, REM Adult Algorithms Male
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Research on the construction of a sustainable scientific research capability evaluation model for university teachers based on the T-S fuzzy neural network.

PloS one Feb 10, 2025
INTRODUCTION: This study aims to enhance educational quality and academic standards by proposing a model based on critical research ability indicators to objectively evaluate the sustainable scientific research capabilities of university teachers.
Universities Fuzzy Logic Bayes Theorem Female Adult Neural Networks, Computer Male Humans Faculty Research
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