Image 1_Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications.tiff حسب Xiaoying Liao (21159071)

"…LASSO regression was used for feature selection, and 9 machine learning (ML) algorithms were evaluated. …"

Image 2_Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications.tiff حسب Xiaoying Liao (21159071)

"…LASSO regression was used for feature selection, and 9 machine learning (ML) algorithms were evaluated. …"

Table 4_Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.xlsx حسب Jianhui Chen (1362585)

"…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …"

Table 2_Potential biomarkers and immune infiltration linking endometriosis with recurrent pregnancy loss based on bioinformatics and machine learning.xlsx حسب Jianhui Chen (1362585)

"…Protein-protein interaction (PPI) network and two machine learning algorithms were applied to identify the common core genes in both diseases. …"

Table 2_Machine learning-based predictive model for enteral nutrition-associated diarrhea in ICU patients and its nursing applications.docx حسب Xiaoying Liao (21159071)

"…LASSO regression was used for feature selection, and 9 machine learning (ML) algorithms were evaluated. …"

Table1_Identification of key genes and immune infiltration of diabetic peripheral neuropathy in mice and humans based on bioinformatics analysis.docx حسب Yumin Zhang (1534168)

"…</p>Methods<p>DPN mice datasets including GSE222778, GSE11343, GSE70852, GSE27382, and GSE34889 were retrieved from the GEO database. Data of human DPN were retrieved from the dbGaP. …"

Diverse regulated cell death patterns and immune traits in kidney allograft with fibrosis: a prediction of renal allograft failure based on machine learning, single-nucleus RNA seq... حسب Yuqing Li (28192)

"…A 9-gene signature, termed RCD risk score (RCDI), was constructed using the least absolute shrinkage and selection operator and multivariate Cox regression algorithms. …"

Important features for women’s empowerment. حسب Md. A. Salam (22386223)

"…Thus, this study aimed to identify the influential determinants of women’s empowerment in Bangladesh using machine learning (ML) algorithms.</p><p>Materials and methods</p><p>The data for this study were obtained from the Bangladesh Demographic and Health Survey (BDHS) 2022, which included a nationally representative sample of 18,600 ever-married women aged 15–49 years. …"

Confusion matrices of ML-based models. حسب Md. A. Salam (22386223)

"…Thus, this study aimed to identify the influential determinants of women’s empowerment in Bangladesh using machine learning (ML) algorithms.</p><p>Materials and methods</p><p>The data for this study were obtained from the Bangladesh Demographic and Health Survey (BDHS) 2022, which included a nationally representative sample of 18,600 ever-married women aged 15–49 years. …"

Confusion matrix. حسب Md. A. Salam (22386223)

"…Thus, this study aimed to identify the influential determinants of women’s empowerment in Bangladesh using machine learning (ML) algorithms.</p><p>Materials and methods</p><p>The data for this study were obtained from the Bangladesh Demographic and Health Survey (BDHS) 2022, which included a nationally representative sample of 18,600 ever-married women aged 15–49 years. …"

ROC curves of ML-based models. حسب Md. A. Salam (22386223)

"…Thus, this study aimed to identify the influential determinants of women’s empowerment in Bangladesh using machine learning (ML) algorithms.</p><p>Materials and methods</p><p>The data for this study were obtained from the Bangladesh Demographic and Health Survey (BDHS) 2022, which included a nationally representative sample of 18,600 ever-married women aged 15–49 years. …"

Image 1_Multimodal MRI radiomics-based stacking ensemble learning model with automatic segmentation for prognostic prediction of HIFU ablation of uterine fibroids: a multicenter st... حسب Bing Wen (5813927)

"…</p>Methods<p>This retrospective study collected data from 360 patients with uterine fibroids who underwent HIFU treatment. …"

Table 1_Identification and verification of biomarkers associated with neutrophils in acute myocardial infarction: integrated analysis of bulk RNA-seq, expression quantitative trait... حسب Guoqing Liu (93712)

"…Hub genes were screened using the least absolute shrinkage and selection operator (LASSO) and random forest (RF) algorithms. …"

Table 2_Identification and verification of biomarkers associated with neutrophils in acute myocardial infarction: integrated analysis of bulk RNA-seq, expression quantitative trait... حسب Guoqing Liu (93712)

"…Hub genes were screened using the least absolute shrinkage and selection operator (LASSO) and random forest (RF) algorithms. …"

Screening of high-efficiency chloroplast-targeting peptides. حسب Chonprakun Thagun (12120578)

"…The 89 cTP-GFPs were categorized into 4 groups based on relative fluorescence intensities in plant cells (Total GFP) vs. inside the chloroplast (Chloroplast GFP) using the <i>K</i>-means clustering algorithm. The number of predicted cTPs for each gene locus is listed in <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002785#pbio.3002785.s026" target="_blank">S4</a> and <a href="http://www.plosbiology.org/article/info:doi/10.1371/journal.pbio.3002785#pbio.3002785.s029" target="_blank">S7 Data</a>. …"

Workflow summary: GRN motif, cell signaling model, and inference framework. حسب Michael Alexander Ramirez Sierra (20209354)

"…<b>[B]</b> Pipeline of data generation and analysis. Key stages of parameter inference (columns 1 through 5). …"

Table 1_Fibromyalgia diagnosis from a multi-omics approach: a gut feeling.pdf حسب Elena Durán-González (17438448)

"…Briefly, blood was collected, centrifuged, and analyzed by liquid nano-chromatography coupled to tandem mass spectrometry. After the raw data analysis, proteins with statistically significant differential abundance and a fold change over 1.2 (20% increase in fibromyalgia compared with control samples) or under 0.8 (20% decrease in fibromyalgia compared with control samples) in fibromyalgia were selected. …"

Table 3_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx حسب Fengqiang Cui (21429032)

"…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …"

Table 5_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx حسب Fengqiang Cui (21429032)

"…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …"

Table 4_Identification and validation of prognostic genes associated with T-cell exhaustion and macrophage polarization in breast cancer.xlsx حسب Fengqiang Cui (21429032)

"…</p>Results<p>According to random survival forest (RSF) algorithm (the best combination with the greatest C-index of 0.799), 7 prognostic genes were selected, which are PGK1, BTG2, TANK, CFB, EIF4E3, TNFRSF18, and BATF. …"