Table 4_Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.xlsx حسب Zuhui Pu (10931751)

"…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …"

Image 1_Association between pro-inflammatory diet and fecal incontinence: a large population-based study.pdf حسب Haiyang Wang (22389)

"…</p>Methods<p>In this study, we collected cross-sectional data from 31,034 participants enrolled in the National Health and Nutrition Examination Survey (NHANES). …"

Table 1_Identification and validation of glycolysis-related diagnostic signatures in diabetic nephropathy: a study based on integrative machine learning and single-cell sequence.xl... حسب Xiaoyin Wu (15279940)

"…Single-cell RNA sequence data was used to identify cell subtypes and interactive signals. …"

Presentation 2_Deep learning radiomics nomogram predicts lymph node metastasis in laryngeal squamous cell carcinoma.pptx حسب Yun Liang (383275)

"…Radiomics features were extracted from CT images, and 7 machine learning algorithms were used to develop 7 radiomics models, which were combined with deep learning features extracted from the ResNet50 deep learning network to form deep learning radiomics (DLR) models. …"

Image 1_Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.tif حسب Zuhui Pu (10931751)

"…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …"

Supplementary file 1_Utilising artificial intelligence in prehospital emergency care systems in low- and middle-income countries: a scoping review.docx حسب Odhran Mallon (21575525)

"…Overall, machine learning algorithms outperformed other comparator methods when they were used in all but two studies.…"

Image 2_Deciphering the role of metal ion transport-related genes in T2D pathogenesis and immune cell infiltration via scRNA-seq and machine learning.tif حسب Zuhui Pu (10931751)

"…We employed 12 machine learning algorithms to develop predictive models and assessed immune cell infiltration using single-sample gene set enrichment analysis (ssGSEA). …"

Table 1_Exploring fecal microbiota signatures associated with immune response and antibiotic impact in NSCLC: insights from metagenomic and machine learning approaches.docx حسب Wenjie Han (1812673)

"…Among eight machine learning algorithms evaluated, the optimal model was selected to construct a predictive framework for immunotherapy response.…"

Counting care workers: when the 'muddle' is the message حسب Tamara Daly (22425892)

"…Answering these ‘counting’ questions has taken on urgency as we proceed at pace to enable decision- making by Artificial Intelligence (AI), with ‘big’ data, large language models and algorithms problem-solving for us (see Chapters 4 and 14 to consider big data on ageing). …"

Dataset: EEG-Controlled Exoskeleton for Walking and Standing - A Longitudinal Study of Healthy Individuals حسب Shantanu Sarkar (20848745)

"…The validation process focuses on key aspects, including data synchronization, electrode location validation, and the validation of both EEG and MRI data.…"

Disproportionality Analysis of Fondaparinux-Associated Adverse Events Based on the FDA Adverse Event Reporting System (FAERS) حسب fengjiao kang (22627709)

"…Instead, this dataset provides the cleaned and structured data that were used as input for the statistical algorithms in the paper.…"

<b>Resting ECG Segmentation Dataset</b> حسب Yuhang Liu (21210833)

"…</li><li><b>Rhythm diversity</b> – The set spans atrial fibrillation (AFIB), atrial flutter (AF), atrial tachycardia (AT), supraventricular tachycardia (SVT) and multiple sinus irregularities, providing rich morphological variation for robust model training.<br><br>Rhythm Type Records num</li><li>AF (Atrial Flutter) 400</li><li>AFIB (Atrial Fibrillation) 400</li><li>AT (Atrial Tachycardia) 121</li><li>SB (Sinus Bradycardia) 400</li><li>SI (Sinus Irregularity) 399</li><li>SR (Sinus Rhythm) 400</li><li>ST (Sinus Tachycardia) 140</li><li>SVT (Supraventricular Tachycardia) 139</li><li>Total 2399</li></ul><p><br></p><p dir="ltr">The combination of high-quality beat-level labels and broad rhythm coverage makes RDB a strong benchmark for developing and evaluating ECG segmentation algorithms that must generalise across diverse clinical presentations.…"

Table 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Supplementary file 1_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

Table 2_Integrative multi-omics analysis identifies a PTM-related immune signature and IRF9 as a driver in ccRCC.docx حسب Zixiang Li (7014416)

"…</p>Methods<p>We intersected immune-related genes, PTM-related genes, and differentially expressed genes in TCGA-KIRC to derive candidates and built a prognostic model across TCGA and E-MTAB-1980 using multiple algorithms, selecting a random survival forest-based post-translational modification-related signature (PTMRS) with the best performance. …"

From GIS to HBIM and Back: Multiscale Performance and Condition Assessment for Networks of Public Heritage Buildings and Construction Components حسب Teresa Fortunato (21076099)

"…Dynamo “As-built” and “as-damaged” HBIM models are integrated in GIS environment multi-data seismic vulnerability assessment</p>…"

Database of Electromyography and Digit Force during Precision Grasping of Objects at Different Weights حسب Salman Khan (18105799)

"…The data acquisition process and preliminary analysis steps are mentioned in this study. …"

Predictive Biomarkers and Molecular Subtypes in DLBCL: Insights from PCD Gene Expression and Machine Learning حسب TianTian He (11470066)

"…The dataset also includes immune infiltration data, gene set variation analysis (GSVA) of relevant pathways, and predictive models built using 12 different machine learning algorithms. …"

A multi-paradigm and longitudinal EEG dataset including the “sixth-finger” and “affected-hand” motor imagery of stroke patient حسب Zhuang Wang (22542833)

"…The dataset comprehensively covers the complete longitudinal stages of stroke rehabilitation: pre-training, post-training, and follow-up periods. The data materials include: 1) raw EEG data, 2) preprocessed data, and 3) patient clinical information. …"

Table 2_Application of digital-intelligent technologies in physical education: a systematic review.xlsx حسب Qiying Zhong (21776771)

"…Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources.…"