Table 1_Real-world pharmacovigilance reports of hepatitis A inactivated and hepatitis B (recombinant) vaccine: insights from disproportionality analysis of the vaccine adverse even... حسب Yuhang Zhou (1391788)

"…The ROR and PRR algorithms have higher sensitivity but lower specificity. …"

Image 1_A novel framework for fire risk assessment in Kazakhstan: integrating machine learning and remote sensing.pdf حسب K. V. Suresh Babu (22563074)

"…The static component employs a machine learning approach, specifically the Random Forest algorithm, trained on a dataset that includes topographic variables derived from the SRTM DEM, land cover classifications from MODIS Terra/Aqua LULC products, and historical fire occurrence data from NASA FIRMS. …"

Application of Raman and ATR-MIR Spectroscopy in Colorectal Cancer Diagnosis Combined with Chemometrics Techniques: A Review حسب Parisa Navid (22623855)

"…Throughout this paper, we explore the experimental applications of chemometrics in conjunction with RS and IR spectroscopy. Chemometric algorithms, when integrated with RS and IR spectroscopy, have demonstrated their efficacy as robust tools for the detection, classification, and analysis of various colorectal cancer matrices. …"

Table 1_A multi-cohort validated OXPHOS signature predicts survival and immune profiles in grade II/III glioma patients.xlsx حسب Jun Mou (4113313)

"…The immune cell composition and tumor microenvironment (TME) characteristics were assessed using ESTIMATE, MCPcounter, and CIBERSORT algorithms. Based on prognostic DEGs, we constructed a four-gene prognostic signature (MAOB, IGFBP2, SERPINA1, and LGR6).…"

Data_Sheet_1_Sex differences in brain MRI using deep learning toward fairer healthcare outcomes.PDF حسب Mahsa Dibaji (20177271)

"…The detailed investigation of sex differences in brain MRI in this study, highlighted by the sex differences map, offers valuable insights into sex-specific aspects of medical imaging and could aid in developing sex-based bias mitigation strategies, contributing to the future development of fair AI algorithms. …"

Table 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.xlsx حسب Roberto Visalli (8152251)

"…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …"

Data Sheet 2_A multi-cohort validated OXPHOS signature predicts survival and immune profiles in grade II/III glioma patients.csv حسب Jun Mou (4113313)

"…The immune cell composition and tumor microenvironment (TME) characteristics were assessed using ESTIMATE, MCPcounter, and CIBERSORT algorithms. Based on prognostic DEGs, we constructed a four-gene prognostic signature (MAOB, IGFBP2, SERPINA1, and LGR6).…"

Table 1_Supervised machine learning approaches for early detection of metabolic and udder health disorders in dairy cows using sensor-derived data.docx حسب Akvilė Girdauskaitė (22645433)

"…These results demonstrate that integrating sensor-derived milk and behavioral data with ML algorithms enables early, non-invasive detection of health disorders, supporting proactive herd management.…"

Table 2_Supervised machine learning approaches for early detection of metabolic and udder health disorders in dairy cows using sensor-derived data.docx حسب Akvilė Girdauskaitė (22645433)

"…These results demonstrate that integrating sensor-derived milk and behavioral data with ML algorithms enables early, non-invasive detection of health disorders, supporting proactive herd management.…"

Data Sheet 1_Image-assisted textural analysis of plagioclase crystals in volcanic rocks: an application to lavas erupted on 2021 at Pacaya volcano, Guatemala.docx حسب Roberto Visalli (8152251)

"…The processing strategy is based on the sequential application of the Principal Components Analysis and the supervised Maximum Likelihood Classification algorithms that allow us distinguishing among rock constituents (mineral phases, vesicles and glasses), quantifying their modal abundances, and identifying textural and chemical variations in a simplified and quick process. …"

Data Sheet 1_A multi-cohort validated OXPHOS signature predicts survival and immune profiles in grade II/III glioma patients.csv حسب Jun Mou (4113313)

"…The immune cell composition and tumor microenvironment (TME) characteristics were assessed using ESTIMATE, MCPcounter, and CIBERSORT algorithms. Based on prognostic DEGs, we constructed a four-gene prognostic signature (MAOB, IGFBP2, SERPINA1, and LGR6).…"

Table 1_Comparing machine learning classifier models in discriminating cognitively unimpaired older adults from three clinical cohorts in the Alzheimer’s disease spectrum: demonstr... حسب Harrison Fah (20821769)

"…</p>Conclusion<p>The ML results indicate that two tree-based methods (RF and GB) are reliable and effective as initial models for classification tasks involving discrete clinical aging and neurodegeneration data. …"

Microscopic Detection and Quantification of Microplastic Particles in Environmental Water Samples حسب Derek Lam (11944213)

"…Phase contrast microscopy (Zeiss, 10X objective) was employed to capture high-resolution images. Image processing algorithms, implemented in Python using adaptive thresholding techniques, were applied to segment particles from the background. …"

Data Sheet 1_The critical role of inflammation in osteoporosis prediction unveiled by a machine learning framework integrating multi-source data.pdf حسب Bo Liu (127343)

"…Various machine learning algorithms (including RUSBoosted Trees, Bagged Trees, Support Vector Machines, Gaussian Process Regression, etc.) were used to establish classification and regression prediction models, and model performance was evaluated through rigorous five-fold cross-validation and external validation.…"

Data Sheet 1_Predicting axillary lymph node metastasis in breast cancer using a multimodal radiomics and deep learning model.docx حسب Fuyu Guo (4588312)

"…Objective<p>To explore the value of combined radiomics and deep learning models using different machine learning algorithms based on mammography (MG) and magnetic resonance imaging (MRI) for predicting axillary lymph node metastasis (ALNM) in breast cancer (BC). …"

Additional file 1 of The origin and evolution of cultivated rice and genomic signatures of heterosis for yield traits in super-hybrid rice حسب Yiyong Zhao (21466062)

"…This table delineates the results of gene expression clustering using the MFUZZ algorithm for three super-hybrid rice varieties, namely LYP9, Y900, and XLY900, along with their progenitor strains. …"

Deep Diving into deep learning and AI: Experiences and lessons learned حسب eRNZ Admin (6438486)

"…</p><p dir="ltr">Brent’s research in AI and machine learning includes developing new ML classification algorithms, applying ML to real-world problems such as electricity demand forecasting and internet search engines, research and development in Intelligent Tutoring Systems, developing social network analysis and anomaly detection techniques for criminal investigation, and applying deep learning to environmental computer vision problems.…"

Identifying patterns of high intraoperative blood pressure variability in noncardiac surgery using explainable machine learning: a retrospective cohort study حسب Zheng Zhang (88857)

"…</p> <p>The models enabled accurate classification of HIBPV cases and highlighted key discriminative perioperative variables through SHAP-based interpretation. …"

Table 1_Next-generation sequencing of mitochondrial DNA reveals pathogenic variants and protective haplogroup D4 in esophageal cancer.xlsx حسب Xiucheng Jiang (18849564)

"…Within the protein-coding regions, 14 variants were classified as deleterious based on predictions from 13 independent bioinformatic algorithms. …"

Uncertainty-Aware Deep Learning and Structural Feature Analysis for Reliable Nephrotoxicity Prediction حسب Jian-Wang Liu (22085230)

"…Using this dataset, we developed classification models employing both traditional machine learning algorithms and graph-based deep learning methods. …"