IEEE

Boosting Algorithm to Handle Unbalanced Classification of PM

Abstract: Air quality conditions are now more severe in the Jakarta area that is among the world’s top eight worst cities according to the 2022 Air Quality Index (AQI) report. In particular, the data ...
IEEE

Sentiment Classification of Crowdsourcing Participants’ Reviews Text Based on LDA Topic Model

Abstract: The review text received by crowdsourcing participants contains valuable knowledge, opinions, and preferences, which is an important basis for employers to make trading decisions, and ...
SciELO

Pɸ-mi-pa loaded PVA/HA electrospun nanofibers from a statistically designed experiment using machine learning algorithms

Bacteriophages, which infect bacterial cells, have a unique ability to reduce bacterial colonization, particularly in antibiotic-resistant biofilm infections. This study aims to fabricate optimized ...
gut.bmj

IDDF2026-ABS-0469 From algorithm to intervention: the emerging role of machine learning in probiotic clinical research

1 Microbiome Research Group, Research Centre for Life Science and Healthcare, Nottingham Ningbo China Beacons of Excellence Research and Innovation Institute (CBI), University of Nottingham Ningbo ...
Frontiers

Enhanced differentiation of breast lesions through integration of microvascular flow imaging and machine learning algorithms

Breast cancer diagnosis relies on imaging, yet conventional Doppler ultrasound possesses limitations in visualizing tumor microvasculature. This study aimed to compare Microvascular Flow imaging ...
Journal of Medical Internet Research

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional ...

BERT, XGBoost, and logistic regression models were developed on the training data set before evaluation on the hold-out test data set. The primary outcome was overall classification accuracy for the ...
Journal of Medical Internet Research

Detecting Uncoded Self-Harm in Veterans’ Electronic Health Records Using Positive and Unlabeled Learning: Retrospective Cohort Study

Agreement was assessed among raters, PULSNAR classifications, and consensus review decisions. Post hoc calibration was used to refine prevalence estimates. Results: Of the 159,049 covariates in the ...