Capturing sequence ambiguity among taxa in a primer-specific manner to improve taxonomic classification of amplicon sequencing. [PDF]
Nearing JT +10 more
europepmc +1 more source
ABSTRACT Objectives This study aimed to identify high‐risk factors for type 2 diabetes and develop a machine learning (ML)–based diabetes prediction model using nursing notes from home health care. Design Retrospective cohort study. Sample A total 7896 medical records from 1747 patients aged ≥ 20 years who received home health care at a university ...
Doyeon LIM +3 more
wiley +1 more source
Comparison Study of Different Feature Selection Techniques for the Diagnosis of Alzheimer's Disease. [PDF]
Masood F +3 more
europepmc +1 more source
Frontline Workers and Civic Tech: Bridging the Responsiveness Gap in Digital Client Encounters
ABSTRACT As governments increasingly digitalize client encounters, there are growing concerns that standardized platforms may reduce bureaucratic responsiveness, particularly for historically underserved communities. We examine whether frontline workers help close that gap through their use of civic‐tech platforms.
Gregory A. Porumbescu +2 more
wiley +1 more source
A cardiovascular disease prediction method based on cross-combination strategy and dynamic weighted stacking ensemble. [PDF]
Qi X, Gao J, Qi H, Shi Y, Zheng J.
europepmc +1 more source
ABSTRACT Objectives To examine the uptake rates of the African Society for Laboratory Medicine (ASLM) Academy Continuous Professional Development (CPD) programmes training courses by laboratory professionals within the African region and explore factors influencing participation.
Nqobile Ndlovu +4 more
wiley +1 more source
Intelligent system for portfolio optimization for novel volatility forecasting using machine learning. [PDF]
Biswas T, Dey A, Mandal G, Ghosh N.
europepmc +1 more source
Explainable artificial intelligence-driven ensemble learning for asthma risk prediction using machine and deep learning. [PDF]
Druvo MMR +3 more
europepmc +1 more source
An interpretability heart disease prediction model based on stacking ensemble with SHAP. [PDF]
Chen Y +5 more
europepmc +1 more source

