Potential of Artificial Intelligence Algorithms for Identification of Relevant Diagnostic and Prognostic Biomarkers of Early-Stage Liver Cancer

arXiv:2609.15638 · cs.AI · Submitted 2026-09-14 · Read on arXiv

cs.AI

Submitted: 2026-09-14

Updated: 2026-09-22

Comments: 25 pages, 11 figures, 4 tables, currently being reviewed after the second revision at the biomedical signal processing and control journal

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

Accuracy — 51× in this paper · explained in 1 episode
Feature Selection — 15× in this paper · explained in 4 episodes
Feature Extraction — 8× in this paper · explained in 2 episodes
Interpretability — 6× in this paper · explained in 15 episodes
AUC — 5× in this paper · explained in 2 episodes
Activation Function — 5× in this paper · explained in 1 episode
Semi-supervised Learning — 5× in this paper · explained in 4 episodes
Generalizability — 4× in this paper · explained in 6 episodes
SHAP values — 4× in this paper · explained in 2 episodes
Cancer Genome Atlas — 3× in this paper
Federated Learning — 3× in this paper · explained in 14 episodes
Loss Function — 3× in this paper · explained in 2 episodes
Robustness — 3× in this paper · explained in 5 episodes
F1 Score — 2× in this paper · explained in 3 episodes
alpha — 2× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Core — 1× in this paper · explained in 2 episodes
Ensemble Learning — 1× in this paper · explained in 2 episodes
External Validation — 1× in this paper · explained in 2 episodes
Principal Component Analysis (PCA) — 1× in this paper · explained in 4 episodes
Random Forests — 1× in this paper
Redundancy — 1× in this paper · explained in 2 episodes
Transfer Learning — 1× in this paper · explained in 10 episodes

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