Automated lung-related pneumonia and COVID-19 detection based on novel feature extraction framework and vision transformer approaches using chest X-ray …
According to research, classifiers and detectors are less accurate when images are blurry,
have low contrast, or have other flaws which raise questions about the machine learning …
have low contrast, or have other flaws which raise questions about the machine learning …
[HTML][HTML] Application of Transfer Learning for Biomedical Signals: A Comprehensive Review of the Last Decade (2014-2024)
Precise and timely disease diagnosis is essential for making effective treatment decisions
and halting disease progression. Biomedical signals offer the potential for non-invasive …
and halting disease progression. Biomedical signals offer the potential for non-invasive …
ECGTransForm: Empowering adaptive ECG arrhythmia classification framework with bidirectional transformer
Cardiac arrhythmias, deviations from the normal rhythmic beating of the heart, are subtle yet
critical indicators of potential cardiac challenges. Efficiently diagnosing them requires …
critical indicators of potential cardiac challenges. Efficiently diagnosing them requires …
Efficacy of a vaginal suppository formulation prepared with Acacia arabica (Lam.) Willd. gum and Cinnamomum camphora (L.) J. Presl. in heavy menstrual bleeding …
Objective: This study aims to determine the efficacy of the Acacia arabica (Lam.) Willd. and
Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual …
Cinnamomum camphora (L.) J. Presl. vaginal suppository in addressing heavy menstrual …
An automatic premature ventricular contraction recognition system based on imbalanced dataset and pre-trained residual network using transfer learning on ECG …
The development of automatic monitoring and diagnosis systems for cardiac patients over
the internet has been facilitated by recent advancements in wearable sensor devices from …
the internet has been facilitated by recent advancements in wearable sensor devices from …
Efficacy and classification of Sesamum indicum linn seeds with Rosa damascena mill oil in uncomplicated pelvic inflammatory disease using machine learning
Background and objectives: As microbes are develo** resistance to antibiotics, natural,
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
botanical drugs or traditional herbal medicine are presently being studied with an eye of …
[HTML][HTML] ECG-based Transfer Learning for Cardiovascular Disease: A Sco** Review
An electrocardiogram (ECG) measures the electrical activity of the heart. It is valuable for the
early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using …
early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using …
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 …
A novel smart belt for anxiety detection, classification, and reduction using IIoMT on students' cardiac signal and MSY
The prevalence of anxiety among university students is increasing, resulting in the negative
impact on their academic and social (behavioral and emotional) development. In order for …
impact on their academic and social (behavioral and emotional) development. In order for …
[HTML][HTML] GAN-SkipNet: a solution for data imbalance in cardiac arrhythmia detection using electrocardiogram signals from a benchmark dataset
Electrocardiography (ECG) plays a pivotal role in monitoring cardiac health, yet the manual
analysis of ECG signals is challenging due to the complex task of identifying and …
analysis of ECG signals is challenging due to the complex task of identifying and …