Uncertainty and Novelty in Machine Learning حسب Derek Scott Prijatelj (20364288)

"…Through the computation of the indicator function, model identifiability and sample complexity are defined and their properties are described for different data-generating processes, ranging from deterministic to ergodic stationary stochastic processes. …"

Table3_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).docx حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Table1_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Table2_A real-world pharmacovigilance analysis of eslicarbazepine acetate using the FDA adverse events reporting system (FAERS) database from 2013 (Q4) to 2024 (Q1).XLSX حسب Huafei Tang (19710232)

"…</p>Methods<p>By extracting all available data since the FDA approval of ESL (2013Q4-2024Q1), disproportionality analysis was performed using reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN) and multi-item gamma Poisson shrinker (MGPS) algorithms. …"

Table 2_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx حسب Andy A. Acosta-Monterrosa (22141996)

"…</p>Results<p>European ancestry dominated the global evidence base, representing 51.5% of 651,532 participants, while African ancestry accounted for only 0.46% (n = 3,031). …"

Table 1_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx حسب Andy A. Acosta-Monterrosa (22141996)

"…</p>Results<p>European ancestry dominated the global evidence base, representing 51.5% of 651,532 participants, while African ancestry accounted for only 0.46% (n = 3,031). …"

Table 3_Pharmacogenomics and genetic ancestry in Colombia: a study on all variant drug annotations of PharmGKB.xlsx حسب Andy A. Acosta-Monterrosa (22141996)

"…</p>Results<p>European ancestry dominated the global evidence base, representing 51.5% of 651,532 participants, while African ancestry accounted for only 0.46% (n = 3,031). …"

Methodology block diagram. حسب Gahao Chen (21688843)

"…Current machine learning (ML) models demonstrate suboptimal predictive performance in KD treatment response prediction, primarily due to their limited ability to effectively process categorical variables and interpret tabular clinical data. …"

Quantitatively linking morphology and optical response of individual silver nanohedra - data حسب Zoltan Sztranyovszky (19655521)

"…By systematically investigating various tomography reconstruction algorithms which influence the geometry, and varying material parameters of the system, we find out that assuming a thin (~0.3-1nm) tarnish layer has formed on the particle surface brings about a good agreement between simulation and experiment.…"

Table 2_Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.docx حسب Xinxin Qin (14280806)

"…We applied six machine learning algorithms to construct a model that can predict distant metastasis of gastric cancer. …"

Table 1_Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.docx حسب Xinxin Qin (14280806)

"…We applied six machine learning algorithms to construct a model that can predict distant metastasis of gastric cancer. …"

Table 3_Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study.docx حسب Xinxin Qin (14280806)

"…We applied six machine learning algorithms to construct a model that can predict distant metastasis of gastric cancer. …"

CANDID-II Dataset حسب Sijing Feng (10187216)

"…This dataset can be used for training and testing for deep learning algorithms for adult chest x rays.</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID II dataset is to be accessed by the external users. …"

Table 2_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

Table 3_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

Table 1_Artificial intelligence in vaccine research and development: an umbrella review.docx حسب Rabie Adel El Arab (14113425)

"…Nonetheless, persistent challenges emerged—data heterogeneity, algorithmic bias, limited regulatory frameworks, and ethical concerns over transparency and equity.…"

CANDID-III Dataset حسب Sijing Feng (10187216)

"…This dataset can be used for training and testing for deep learning algorithms for adult chest x rays.</p><p dir="ltr">Unfortunately, since Feb 2024, the New Zealand government is changing the data governance on datasets used for AI development and this affects the process of how the CANDID III dataset is to be accessed by the external users. …"

Image 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.tif حسب Bin He (75597)

"…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …"

Table 3_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx حسب Bin He (75597)

"…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …"

Table 8_Cellular interactions and Ion channel signatures in atrial fibrillation remodeling: insights from single-cell analysis and machine learning.xlsx حسب Bin He (75597)

"…In the electrical remodeling investigation, ion channel gene sets and gene expression data were utilized alongside LASSO and SVM machine-learning algorithms combined with ROC curve analysis. …"