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Machine learning models show high accuracy in detecting liver cirrhosis

By PulseAugur Editorial · [3 sources] ·

Researchers have developed explainable ensemble-based machine learning models to detect cirrhosis in Hepatitis C patients. Utilizing a dataset of 2038 Egyptian patients, four algorithms were trained, with the Extra Trees model achieving the highest accuracy of 96.92%. This model also demonstrated a recall of 94.00% and a precision of 99.81% using only 16 of the 28 available features, highlighting its potential for early disease detection. AI

IMPACT These models could significantly improve early detection of liver cirrhosis, leading to better patient outcomes and more effective treatment strategies.

RANK_REASON The cluster reports on a scientific paper detailing the development and evaluation of machine learning models for a specific medical application.

Read on arXiv cs.LG →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

Machine learning models show high accuracy in detecting liver cirrhosis

COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Abrar Alotaibi, Lujain Alnajrani, Nawal Alsheikh, Alhatoon Alanazy, Salam Alshammasi, Meshael Almusairii, Shoog Alrassan, Aisha Alansari ·

    Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

    arXiv:2606.26561v1 Announce Type: new Abstract: Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leading to permanent scarring, known as cirrhosis. Patien…

  2. arXiv cs.LG TIER_1 English(EN) · Aisha Alansari ·

    Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

    Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leading to permanent scarring, known as cirrhosis. Patients sometimes have moderate or no symptoms of liv…

  3. Hugging Face Daily Papers TIER_1 English(EN) ·

    Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients

    Hepatitis C is a liver infection caused by a virus, which results in mild to severe inflammation of the liver. Over many years, hepatitis C gradually damages the liver, often leading to permanent scarring, known as cirrhosis. Patients sometimes have moderate or no symptoms of liv…

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