Results 211 to 220 of about 5,977,377 (233)

Avidin is evolutionarily conserved in fish but dispensable for development and resistance against Streptococcus agalactiae in zebrafish

FEBS Open Bio, EarlyView.
The presence of biotin‐binding avidin proteins in fish and their biological significance are poorly characterized. We cataloged fish avidins and demonstrate that they are widely present and evolutionarily conserved. We created avd knockout zebrafish and show that zebavidin is dispensable for development and that resistance of avd knockout embryos in ...
Anni K. Saralahti, Markus J. T. Ojanen, Mataleena Parikka, Otto Kauko, Mika Rämet, Vesa P. Hytönen   +5 more
wiley   +1 more source

Explainable 3D deep learning from full-head MRI suggests scalp and skull involvement in Alzheimer's disease. [PDF]

J Alzheimers Dis
Ebadi Jalal M, Hamidi R, Harris B, Elmaghraby A, Friedland RP, Alzheimer's Disease Neuroimaging Initiative.   +5 more
europepmc   +1 more source

Explainable Machine Learning Models for Predicting Functional and Pain Recovery After Fragility Fracture Surgery. [PDF]

Diagnostics (Basel)
Chen CH, Huang CK, Lai CC, Lin LC, Yang TH.   +4 more
europepmc   +1 more source

Pilot Study Employing a Machine Learning Approach as a Potential Method for Predicting Parkinson's Disease Using Voice as a Digital Biomarker and the SHAP Approach for Feature Engineering. [PDF]

Bioengineering (Basel)
Rashidi M, Shah SAH, Coppola C, Buccoliero A, Arima S, Lupo A, My F, Lorenzo M, Donzella M, Maffia M.   +9 more
europepmc   +1 more source

Directed Lobish-based explainable feature engineering model with TTPat and CWINCA for EEG artifact classification

Knowledge-Based Systems
Background and Objective: Electroencephalography (EEG) signals are crucial to decipher various brain activities. However, these EEG signals are subtle and contain various artifacts, which can happen due to various reasons.
Irem Tasci, Sengül Dogan, Burak Tasci   +2 more
exaly   +2 more sources

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Mining the determinants of review helpfulness: a novel approach using intelligent feature engineering and explainable AI

Data Technologies and Applications, 2023
Hongchul Lee, Jiho Kim
exaly