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Medical intelligence for anxiety research: Insights from genetics, hormones, implant science, and smart devices with future strategies
This comprehensive review article embarks on an extensive exploration of anxiety research,
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …
navigating a multifaceted landscape that incorporates various disciplines, such as molecular …
Deep learning for personalized electrocardiogram diagnosis: A review
Therapeutic Efficacy of a Formulation Prepared with Linum usitatissimum L., Plantago ovata Forssk., and Honey on Uncomplicated Pelvic Inflammatory Disease …
A single-blind double-dummy randomized study was conducted in diagnosed patients (n=
66) to compare the efficacy of Linseeds (Linum usitatissimum L.), Psyllium (Plantago ovata …
66) to compare the efficacy of Linseeds (Linum usitatissimum L.), Psyllium (Plantago ovata …
Prototype Learning for Medical Time Series Classification via Human–Machine Collaboration
Deep neural networks must address the dual challenge of delivering high-accuracy
predictions and providing user-friendly explanations. While deep models are widely used in …
predictions and providing user-friendly explanations. While deep models are widely used in …
Enhancing the performance of premature ventricular contraction detection in unseen datasets through deep learning with denoise and contrast attention module
Premature ventricular contraction (PVC) is a common and harmless cardiac arrhythmia that
can be asymptomatic or cause palpitations and chest pain in rare instances. However …
can be asymptomatic or cause palpitations and chest pain in rare instances. However …
Self-Attention MHDNet: A novel deep learning model for the detection of R-peaks in the electrocardiogram signals corrupted with Magnetohydrodynamic effect
Magnetic resonance imaging (MRI) is commonly used in medical diagnosis and minimally
invasive image-guided operations. During an MRI scan, the patient's electrocardiogram …
invasive image-guided operations. During an MRI scan, the patient's electrocardiogram …
A hybrid stacked restricted boltzmann machine with sobel directional patterns for melanoma prediction in colored skin images
Melanoma, a kind of skin cancer that is very risky, is distinguished by uncontrolled cell
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
multiplication. Melanoma detection is of the utmost significance in clinical practice because …
A cross-sectional study of parental perspectives on children about COVID-19 and classification using machine learning models
Background and objective This study delves into the parenting cognition perspectives on
COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It …
COVID-19 in children, exploring symptoms, transmission modes, and protective measures. It …