Alzheimer's diseases diagnosis using fusion of high informative BiLSTM and CNN features of EEG signal

M Imani - Biomedical Signal Processing and Control, 2023 - Elsevier
Electroencephalography (EEG) signals are low cost and available data for diagnosis of
mental disorders such as Alzheimer's diseases (AD). Each EEG signal contains information …

[HTML][HTML] Effects of multiple metals exposure on abnormal liver function: The mediating role of low-density lipoprotein cholesterol

X Han, Z Lv, J Cheng, Y Zhang, T Wang, J Chen… - Ecotoxicology and …, 2024 - Elsevier
Equilibration of metal metabolism is critical for normal liver function. Most epidemiological
studies have only concentrated on the influence of limited metals. However, the single and …

Sex-specific associations of exposure to metal mixtures with telomere length change: Results from an 8-year longitudinal study

J He, X Ge, H Cheng, Y Bao, X Feng, G Zan… - Science of the Total …, 2022 - Elsevier
Studies on the relationships between exposure to metal mixtures and telomere length (TL)
are limited, particularly longitudinal studies. Few studies are available on the potential sex …

Effects of polycyclic aromatic hydrocarbons and multiple metals co-exposure on the mosaic loss of chromosome Y in peripheral blood

Y Bai, X Guan, W Wei, Y Feng, H Meng, G Li… - Journal of Hazardous …, 2021 - Elsevier
Mosaic loss of chromosome Y (mLOY) is an indicator of genome instability, but the
environmental stressors of mLOY remained largely unknown. In this study, we detected the …

Diagnosis of diabetes mellitus in women of reproductive age using the prediction methods of naive bayes, discriminant analysis, and logistic regression

Y Resti, ES Kresnawati, NR Dewi… - Science and …, 2021 - sciencetechindonesia.com
Diabetes is a chronic disease that can cause serious illness. Women are four times more
likely to develop heart problems caused by diabetes. Women are also more prone to …

Instrumental odour monitoring system classification performance optimization by analysis of different pattern-recognition and feature extraction techniques

T Zarra, MGK Galang, FC Ballesteros Jr, V Belgiorno… - Sensors, 2020 - mdpi.com
Instrumental odour monitoring systems (IOMS) are intelligent electronic sensing tools for
which the primary application is the generation of odour metrics that are indicators of odour …

Maturity grading of oil palm fresh fruit bunches based on a machine learning approach

A Septiarini, HR Hatta, H Hamdani… - … on Informatics and …, 2020 - ieeexplore.ieee.org
Grading maturity oil palm fresh fruit bunches (FFB) is an essential issue in the agriculture
sector because the quality of palm oil determines based on the maturity level. Recently, the …

Comparison of dengue predictive models developed using artificial neural network and discriminant analysis with small dataset

P Silitonga, A Bustamam, H Muradi… - Applied Sciences, 2021 - mdpi.com
In Indonesia, dengue has become one of the hyperendemic diseases. Dengue consists of
three clinical phases—febrile phase, critical phase, and recovery phase. Many patients have …

Multiclass sparse discriminant analysis incorporating graphical structure among predictors

J Luo, X Li, C Yu, G Li - Journal of Classification, 2023 - Springer
In the era of big data, many sparse linear discriminant analysis methods have been
proposed for classification and variable selection of the high-dimensional data. In order to …

Domain decomposed classification algorithms based on linear discriminant analysis: An optimality theory and applications

J Li, XC Cai - Neurocomputing, 2024 - Elsevier
Linear discriminant analysis (LDA) is a popular technique for supervised classification
problems, and it works quite well when the number of classes is small, but the accuracy …