[HTML][HTML] Predictive Models for Post-Liver Transplant Survival Using Machine Learning Techniques in Three Critical Time Intervals
A Abdollahzade, H Rahimi, AM Ahmadzade… - Journal of Liver …, 2024 - Elsevier
Background Liver transplantation is critical for end-stage liver disease, but limited donor
availability necessitates prioritizing patients on waiting lists. Predictive models like the Model …
availability necessitates prioritizing patients on waiting lists. Predictive models like the Model …
[HTML][HTML] Evaluating the predictive power of machine learning in cirrhosis mortality: a systematic review
S Malik, LJ Frey, K Qureshi - Journal of Medical Artificial …, 2025 - jmai.amegroups.org
Background: Cirrhosis, a leading cause of morbidity and mortality, is primarily driven by viral
hepatitis, metabolic dysfunction-associated steatotic liver disease (MASLD), and alcohol …
hepatitis, metabolic dysfunction-associated steatotic liver disease (MASLD), and alcohol …
Survival Prediction of Cirrhosis Patients Using Polynomial Features and Differential Evolution
HY Patil, PB Patil… - … Conference on Bio …, 2024 - ieeexplore.ieee.org
This research focuses on enhancing the accuracy of the Cirrhosis Patient Survival Prediction
dataset from the UCI-MLR. Leveraging novel techniques such as feature engineering and …
dataset from the UCI-MLR. Leveraging novel techniques such as feature engineering and …
Enhancing liver cirrhosis diagnosis: A comparative analysis of XGBoost, SVM, and random forest classifiers for optimal predictive analysis
A Sharma, AM Gupta, S Das - Computational Methods in Science …, 2024 - taylorfrancis.com
Cirrhosis of the liver, an irreversible liver disease, replaces the healthy tissue with scar
tissue and causes the dysfunction of the liver. The data came from a long-term Mayo Clinic …
tissue and causes the dysfunction of the liver. The data came from a long-term Mayo Clinic …