F-Chain: personalized overall survival prediction based on incremental adaptive indicators and multi-source clinical records
The abundance of biomarkers across histology, imaging, and clinical endpoints poses a
challenge in selecting indicators for personalized clinical decision support. Patient …
challenge in selecting indicators for personalized clinical decision support. Patient …
CO 2 Emission Prediction for Coal-Fired Power Plants by Random Forest-Recursive Feature Elimination-Deep Forest-Optuna Framework.
K Tu, Y Wang, X Li, X Wang, Z Hu, B Luo… - Energies …, 2024 - search.ebscohost.com
As the greenhouse effect intensifies, China faces pressure to manage CO< sub> 2
emissions. Coal-fired power plants are a major source of CO< sub> 2 in China. Traditional …
emissions. Coal-fired power plants are a major source of CO< sub> 2 in China. Traditional …
PMDF: Preference-based multimodal deep forest for overall survival prediction in gastric cancer
Z Chen, Q Li, T Ma, Z Du, H Guo… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Overall survival (OS) analysis has a significant role in clinical treatment and prognosis. A
singular data source's samples may be biased, leading to low generalisable models. Multi …
singular data source's samples may be biased, leading to low generalisable models. Multi …
Unlocking Precision Diagnostics: A Multimodal Framework Integrating Metabolomics with Advanced Machine Learning Techniques
P Shahnazari, K Kavousi, HR Khorram Khorshid… - bioRxiv, 2025 - biorxiv.org
Integrating multiple omics modalities is a crucial strategy in cancer research, particularly in
metabolomics, enabling early detection and detailed exploration of cancer biomarker …
metabolomics, enabling early detection and detailed exploration of cancer biomarker …