Artificial Intelligence (AI) has broadly connected the medical field at various levels of
diagnosis based on the congruous data generated. Different types of bio-signal can be used …

Disaggregation methods have become popular in multicriteria decision aiding (MCDA) for
eliciting preferential information and constructing decision models from decision examples …

For engineering applications, the dynamic system responses can be significantly affected by
uncertainties in the system parameters including material and geometric properties as well …

Abstract Background Traditional Chinese medicine prescription sini decoction (SND) can
alleviate inflammation, improve microcirculation, and modulate immune status in sepsis …

BACKGROUND Recent evidence shows that long non-coding RNAs (lncRNAs) are closely
related to hepatogenesis and a few aggressive features of hepatocellular carcinoma (HCC) …

Despite interindividual differences in cortical structure, cross‐sectional and longitudinal
studies have demonstrated a large degree of population‐level consistency in age‐related …

Recently, several molecular subtypes with different prognosis have been found in lung
adenocarcinoma (LUAD). However, the characteristics of the ferroptosis molecular subtypes …

Background: An accumulating body of evidence suggests that long non-coding RNAs
(lncRNAs) can serve as potential cancer prognostic factors. However, the utility of lncRNA …

Fitting a machine learning model often requires presetting parameter values
(hyperparameters) that control how an algorithm learns from the data. Selecting an optimal …

At present, with the in-depth study of gene expression data, the significant role of tumor
classification in clinical medicine has become more apparent. In particular, the sparse …