AIMC Topic: Female

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Automated Quantification of HER2 Amplification Levels Using Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
HER2 assessment is necessary for patient selection in anti-HER2 targeted treatment. However, manual assessment of HER2 amplification is time-costly, labor-intensive, highly subjective and error-prone. Challenges in HER2 analysis in fluorescence in si...
In Situ Hybridization, Fluorescence Image Interpretation, Computer-Assisted Gene Amplification Receptor, ErbB-2 Humans Female Breast Neoplasms Deep Learning
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A Trustworthy Curriculum Learning Guided Multi-Target Domain Adaptation Network for Autism Spectrum Disorder Classification.

IEEE journal of biomedical and health informatics Jan 7, 2025
Domain adaptation has demonstrated success in classification of multi-center autism spectrum disorder (ASD). However, current domain adaptation methods primarily focus on classifying data in a single target domain with the assistance of one or multip...
Image Interpretation, Computer-Assisted Brain Humans Female Machine Learning Male Autism Spectrum Disorder Child
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Fine-Grained Fidgety Movement Classification Using Active Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Typically developing infants, between the corrected age of 9-20 weeks, produce fidgety movements. These movements can be identified with the General Movement Assessment, but their identification requires trained professionals to conduct the assessmen...
Image Processing, Computer-Assisted Supervised Machine Learning Video Recording Problem-Based Learning Movement Female Infant, Newborn Male Infant Humans Algorithms
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Multiscale Spatial-Temporal Feature Fusion Neural Network for Motor Imagery Brain-Computer Interfaces.

IEEE journal of biomedical and health informatics Jan 7, 2025
Motor imagery, one of the main brain-computer interface (BCI) paradigms, has been extensively utilized in numerous BCI applications, such as the interaction between disabled people and external devices. Precise decoding, one of the most significant a...
Humans Imagination Male Neural Networks, Computer Electroencephalography Signal Processing, Computer-Assisted Female Brain-Computer Interfaces Young Adult Adult
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Step Width Estimation in Individuals With and Without Neurodegenerative Disease via a Novel Data-Augmentation Deep Learning Model and Minimal Wearable Inertial Sensors.

IEEE journal of biomedical and health informatics Jan 7, 2025
Step width is vital for gait stability, postural balance control, and fall risk reduction. However, estimating step width typically requires either fixed cameras or a full kinematic body suit of wearable inertial measurement units (IMUs), both of whi...
Walking Gait Accelerometry Wearable Electronic Devices Humans Postural Balance Female Signal Processing, Computer-Assisted Adult Neurodegenerative Diseases Biomechanical Phenomena Aged Male Young Adult Middle Aged Deep Learning
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Spatial Craving Patterns in Marijuana Users: Insights From fMRI Brain Connectivity Analysis With High-Order Graph Attention Neural Networks.

IEEE journal of biomedical and health informatics Jan 7, 2025
The excessive consumption of marijuana can induce substantial psychological and social consequences. In this investigation, we propose an elucidative framework termed high-order graph attention neural networks (HOGANN) for the classification of Marij...
Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Mapping Female Young Adult Adult Nerve Net Craving Marijuana Abuse Algorithms Brain Humans Neural Networks, Computer
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TCNN-KAN: Optimized CNN by Kolmogorov-Arnold Network and Pruning Techniques for sEMG Gesture Recognition.

IEEE journal of biomedical and health informatics Jan 7, 2025
Surface electromyography (sEMG) is a non-invasive technique that records the electrical signals generated by muscle activity. sEMG signals are widely used in the field of biomedical and health informatics for diagnosing and monitoring neuromuscular d...
Humans Neural Networks, Computer Algorithms Female Gestures Signal Processing, Computer-Assisted Electromyography Young Adult Adult Male
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Predicting Blood Pressures for Pregnant Women by PPG and Personalized Deep Learning.

IEEE journal of biomedical and health informatics Jan 7, 2025
Blood pressure (BP) is predicted by this effort based on photoplethysmography (PPG) data to provide effective pre-warning of possible preeclampsia of pregnant women. Towards frequent BP measurement, a PPG sensor device is utilized in this study as a ...
Blood Pressure Signal Processing, Computer-Assisted Pregnancy Female Young Adult Photoplethysmography Blood Pressure Determination Adult Deep Learning Humans
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A Fusion Network With Stacked Denoise Autoencoder and Meta Learning for Lateral Walking Gait Phase Recognition and Multi-Step-Ahead Prediction.

IEEE journal of biomedical and health informatics Jan 7, 2025
Lateral walking gait phase recognition and prediction are the premise of hip exoskeleton application in lateral resistance walk exercise. We presented a fusion network with stacked denoise autoencoder and meta learning (SDA-NN-ML) to recognize gait p...
Neural Networks, Computer Machine Learning Female Young Adult Humans Signal Processing, Computer-Assisted Walking Gait Autoencoder Adult Male Support Vector Machine
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Multimodal machine learning for analysing multifactorial causes of disease-The case of childhood overweight and obesity in Mexico.

Frontiers in public health Jan 7, 2025
BACKGROUND: Mexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analy...
Child Male Humans Nutrition Surveys Adolescent Machine Learning Pediatric Obesity Body Mass Index Mexico Child, Preschool Female Overweight
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