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

机器学习模型在检测肝硬化方面表现出高准确率

研究人员开发了可解释的集成机器学习模型来检测丙型肝炎患者的肝硬化。利用一个包含2038名埃及患者的数据集,训练了四种算法,其中Extra Trees模型达到了96.92%的最高准确率。该模型在使用28个可用特征中的16个时,还表现出94.00%的召回率和99.81%的精确率,凸显了其在疾病早期检测方面的潜力。 AI

影响 这些模型可以显著改善肝硬化的早期检测,从而带来更好的患者预后和更有效的治疗策略。

排序理由 该集群报道了一篇科学论文,详细介绍了用于特定医疗应用的机器学习模型的开发和评估。

在 arXiv cs.LG 阅读 →

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机器学习模型在检测肝硬化方面表现出高准确率

报道来源 [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 ·

    用于检测丙型肝炎患者肝硬化存在的可解释集成机器学习模型

    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…