Analyzing the blood compositions of different stages of obesity disease using a linear-regression model between FT-Raman spectroscopy and BMI data

Çeçen, Serpil; Elgörmüş, Yusuf; Depciuch, Joanna; Cebulski, Jozef; Guleken, Zozan

doi:10.1016/j.measurement.2024.114384

Measurement

2024

DOI: 10.1016/j.measurement.2024.114384

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Analyzing the blood compositions of different stages of obesity disease using a linear-regression model between FT-Raman spectroscopy and BMI data

Serpil Çeçen,

Yusuf Elgörmüş,

Joanna Depciuch

et al.

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2024

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Cited by 2 publications

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Characterization of Serum Biochemical Changes in Response to Alcohol Consumption Using FT‐Raman Spectroscopy

Mırsal,

Ceylan,

Sarıbal

et al. 2024

J Raman Spectroscopy

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Alcohol is one of the most widely used stimulants globally, with increasing consumption rates annually. Prolonged alcohol consumption leads to significant physiological and neurological changes, potentially resulting in various diseases, which could be detect in serum. Therefore, FT‐Raman spectroscopy was used to measure chemical changes in the serum of heavy drinkers, and these results were compared with the serum composition of a control group of non‐drinkers. Obtained results showed a significant increase in lipids and a decrease in the amide/lipid ratio after alcohol administration. Additionally, higher amide III/amide II and lower amide II/amide I ratios were observed in the serum of alcohol‐addicted patients. These shifts of 892, 966, 1286, 1459 and 2940 cm−1 peaks indicate alterations in the protein‐lipid balance due to alcohol consumption. Principal component analysis (PCA) was employed to further analyze the spectral data, with the first three principal components accounting for 95.36% of total data variability. A Bayesian‐optimized k‐nearest neighbor (BO‐KNN) model was applied for classification. The optimal hyperparameters—two neighbors, correlation distance metric, and squared inverse distance weight—were determined after seven iterations, resulting in a remarkably low classification error of 0.0384. The BO‐KNN model achieved training and test accuracies of 95.92% and 90.48%, respectively. Receiver operating characteristic (ROC) analysis showed an area under the curve (AUC) of 1.00 for the training set and 0.90 for the test set, demonstrating the model's high precision and robustness. In conclusion, FT‐Raman spectroscopy effectively revealed significant chemical changes in the serum of alcohol‐addicted individuals, providing valuable insights into the biochemical impact of alcohol consumption.

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Characterization of Serum Biochemical Changes in Response to Alcohol Consumption Using FT‐Raman Spectroscopy

Mırsal,

Ceylan,

Sarıbal

et al. 2024

J Raman Spectroscopy

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Exploring the Construction and Practice of Intelligent Teaching Environment for Civic and Political Education in Colleges and Universities

Chen,

Zhang

2024

Applied Mathematics and Nonlinear Sciences

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In this paper, the basic framework of AI education is firstly constructed by combining educational AI technology, and then the technical architecture, including intelligent classroom, online learning platform, and interactive learning tools, is built based on the content of intelligent teaching environment of Civics education in colleges and universities. Then, we explored the students’ Civics learning under the intelligent teaching environment, analyzed the correlation between the Civics teaching effect and intelligent teaching, and investigated the influence of the intelligent teaching environment on the Civics teaching effect through a stepwise regression model. Intelligent teaching correlates with students’ learning interest, theoretical knowledge, professional ability, and learning attitude at the 5% level, with correlation coefficients of 0.798, 0.656, 0.712, and 0.553. In this study, theoretical references are provided for the integration of intelligent technology into Civics teaching.

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Analyzing the blood compositions of different stages of obesity disease using a linear-regression model between FT-Raman spectroscopy and BMI data

Cited by 2 publications

References 49 publications

Characterization of Serum Biochemical Changes in Response to Alcohol Consumption Using FT‐Raman Spectroscopy

Characterization of Serum Biochemical Changes in Response to Alcohol Consumption Using FT‐Raman Spectroscopy

Exploring the Construction and Practice of Intelligent Teaching Environment for Civic and Political Education in Colleges and Universities

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