Enhancing Liver Cirrhosis Prognosis: A Machine Learning and Explainable AI Approach

Liver cirrhosis is a final stage of many chronic liver diseases, accompanying with higher morbidity and mortality rates reduce quality of life. The aim of this study is to examine the predictive potential of predictive analytics for survival in patients diagnosed with liver cirrhosis using a large c...

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Veröffentlicht in:	2024 Third International Conference on Artificial Intelligence, Computational Electronics and Communication System (AICECS) S. 1 - 5
Hauptverfasser:	Jeyabalan, Jeyalakshmi, Karthikeyan
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 12.12.2024
Schlagworte:	Decision making Explainable AI Genomics Gradient Boosting Algorithms Liver Cirrhosis Liver diseases Machine Learning Machine learning algorithms Mortality Precision medicine Prediction algorithms Predictive analytics Prognostics and health management Survival Prediction
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