The role of social network analysis as a learning analytics tool in online problem based learning

M Saqr, A Alamro - BMC medical education, 2019 - Springer
Background Social network analysis (SNA) might have an unexplored value in the study of
interactions in technology-enhanced learning at large and in online (Problem Based …

Text mining and emotion classification on monkeypox Twitter dataset: A deep learning-natural language processing (NLP) approach

R Olusegun, T Oladunni, H Audu, YAO Houkpati… - IEEE …, 2023 - ieeexplore.ieee.org
Emotion classification has become a valuable tool in analyzing text and emotions people
express in response to events or crises, particularly on social media and other online …

DMTO: a realistic ontology for standard diabetes mellitus treatment

S El-Sappagh, D Kwak, F Ali, KS Kwak - Journal of biomedical semantics, 2018 - Springer
Background Treatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical
decision support system (CDSS) based on massive and distributed electronic health record …

Development and Validation of Data-Level Innovation Data-Balancing Machine Learning Models for Predicting Optimal Implantable Collamer Lens Size and …

H Zhao, T Tang, Y Lu, X Li, L Sun, S Chen, L Ma… - Ophthalmology and …, 2024 - Springer
Introduction There are only four sizes of implantable collamer lens (ICL) available for
selection, which cannot completely fit all patients as a result of the discontinuity of ICL sizes …

Optimal selection of resampling methods for imbalanced data with high complexity

A Kim, I Jung - Plos one, 2023 - journals.plos.org
Class imbalance is a major problem in classification, wherein the decision boundary is
easily biased toward the majority class. A data-level solution (resampling) is one possible …