Artificial liver classifier: a new alternative to conventional machine learning models
IntroductionSupervised machine learning classifiers sometimes face challenges related to the performance, accuracy, or overfitting.MethodsThis paper introduces the Artificial Liver Classifier (ALC), a novel supervised learning model inspired by the human liver's detoxification function. The ALC...
Saved in:
| Main Authors: | Mahmood A. Jumaah, Yossra H. Ali, Tarik A. Rashid |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-08-01
|
| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2025.1639720/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Empowering Diagnostics: An Ensemble Machine Learning Model for Early Liver Disease Detection
by: Abdulrahman Ahmed Jasim, et al.
Published: (2025-06-01) -
Current state of artificial intelligence in liver transplantation
by: Ashley E. Montgomery, et al.
Published: (2025-06-01) -
Optimizing Stroke Risk Prediction: A Primary Dataset‐Driven Ensemble Classifier With Explainable Artificial Intelligence
by: Md. Maruf Hossain, et al.
Published: (2025-05-01) -
Integration of Multiple Biosensors for Emotion Classification with Artificial Intelligence
by: Cintia Ricaele Ferreira da Silva, et al.
Published: (2024-11-01) -
Detection of breast cancer using machine learning and explainable artificial intelligence
by: Tharunya Arravalli, et al.
Published: (2025-07-01)