Bio-signals in medical applications and challenges using artificial intelligence

M Swapna, UM Viswanadhula, R Aluvalu… - Journal of Sensor and …, 2022 - mdpi.com
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 …

Preference disaggregation and statistical learning for multicriteria decision support: A review

M Doumpos, C Zopounidis - European journal of operational research, 2011 - Elsevier
Disaggregation methods have become popular in multicriteria decision aiding (MCDA) for
eliciting preferential information and constructing decision models from decision examples …

[HTML][HTML] Six-long non-coding RNA signature predicts recurrence-free survival in hepatocellular carcinoma

JX Gu, X Zhang, RC Miao, XH **ang… - World journal of …, 2019 - ncbi.nlm.nih.gov
BACKGROUND Recent evidence shows that long non-coding RNAs (lncRNAs) are closely
related to hepatogenesis and a few aggressive features of hepatocellular carcinoma (HCC) …

Dynamic reliability analysis using the extended support vector regression (X-SVR)

J Feng, L Liu, D Wu, G Li, M Beer, W Gao - Mechanical Systems and Signal …, 2019 - Elsevier
For engineering applications, the dynamic system responses can be significantly affected by
uncertainties in the system parameters including material and geometric properties as well …

SGL-SVM: a novel method for tumor classification via support vector machine with sparse group Lasso

Y Huo, L **n, C Kang, M Wang, Q Ma, B Yu - Journal of Theoretical Biology, 2020 - Elsevier
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 …

Predicting age from cortical structure across the lifespan

CR Madan, EA Kensinger - European Journal of Neuroscience, 2018 - Wiley Online Library
Despite interindividual differences in cortical structure, cross‐sectional and longitudinal
studies have demonstrated a large degree of population‐level consistency in age‐related …

Seven-gene signature based on glycolysis is closely related to the prognosis and tumor immune infiltration of patients with gastric cancer

S Yu, C Hu, L Cai, X Du, F Lin, Q Yu, L Liu… - Frontiers in …, 2020 - frontiersin.org
Background: Gastric cancer (GC) is one of the most common malignancies worldwide,
exhibiting a high morbidity, and mortality. As the various treatment methods for gastric …

Molecular subtypes based on ferroptosis-related genes and tumor microenvironment infiltration characterization in lung adenocarcinoma

W Zhang, S Yao, H Huang, H Zhou, H Zhou… - …, 2021 - Taylor & Francis
Recently, several molecular subtypes with different prognosis have been found in lung
adenocarcinoma (LUAD). However, the characteristics of the ferroptosis molecular subtypes …

Identification and validation of a prognostic lncRNA signature for hepatocellular carcinoma

W Li, QF Chen, T Huang, P Wu, L Shen… - Frontiers in …, 2020 - frontiersin.org
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 …

The expression profiles of signature genes from CD103+LAG3+ tumour-infiltrating lymphocyte subsets predict breast cancer survival

ZA **a, C Lu, C Pan, J Li, J Li, Y Mao, L Sun, J He - BMC medicine, 2023 - Springer
Abstract Background Tumour-infiltrating lymphocytes (TILs), including T and B cells, have
been demonstrated to be associated with tumour progression. However, the different …