The advancements of information technology and related processing techniques have
created a fertile base for progress in many scientific fields and industries. In the fields of drug …

The healthy liver plays more than 500 organic roles in the human body, while a malfunction
may be dangerous or even deadly. Early diagnosis and treatment of liver disease can …

Today, a significant number of biomedical data is generated continuously from various
biomedical equipment and experiments due to rapid technological improvements in medical …

Recent advancements in deep learning (DL) have played a crucial role in aiding experts to
develop personalized healthcare services, particularly in drug response prediction (DRP) for …

For the imbalanced classification problems, most traditional classification models only focus
on searching for an excellent classifier to maximize classification accuracy with the fixed …

Liver, a crucial interior organ of the human body whose principal tasks are to eliminate
generated waste produced by our organism, digest food, and preserve vitamins and energy …

Wearable technology plays a key role in smart healthcare applications. Detection and
analysis of the physiological data from wearable devices is an essential process in smart …

Feature selection plays an important role in the classification process to decrease the
computational time, which can reduce the dimensionality of a dataset and improve the …

Liver disease diagnosis is pivotal for effective patient management, and machine learning
techniques have shown promise in this domain. In this study, we investigate the impact of …

Biomedical data exhibit high-dimensional complexity in its internal structure and are
susceptible to noise interference, making classification tasks in biomedical data highly …