Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach

Dirican, Emre; Bal, Tayibe; Onlen, Yusuf; Sarigul, Figen; User, Ulku; Sari, Nagehan Didem; Kurtaran, Behice; Senates, Ebubekir; Gunduz, Alper; Zerdali, Esra; Karsen, Hasan; Batirel, Ayse; Karaali, Ridvan; Guner, Hatice Rahmet; Yamazhan, Tansu; Kose, Sukran; Erben, Nurettin; Ince, Nevin Koc; Koksal, Iftihar; Oztoprak, Nefise; Yoruk, Gulsen; Komur, Suheyla; Kaya, Sibel Yildiz; Bozkurt, Ilkay; Gunal, Ozgur; Yildiz, Ilknur Esen; Inan, Dilara; Barut, Sener; Namiduru, Mustafa; Tosun, Selma; Turker, Kamuran; Sener, Alper; Hizel, Kenan; Baykam, Nurcan; Duygu, Fazilet; Bodur, Hurrem; Can, Guray; Gul, Hanefi Cem; Tartar, Ayse Sagmak; Celebi, Guven; Sunnetcioglu, Mahmut; Karabay, Oguz; Karaosmanoglu, Hayat Kumbasar; Sirmatel, Fatma; Tabak, Omer Fehmi

doi:10.1002/jcla.70054

Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach

Tarih

2025

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DOI No

10.1002/jcla.70054

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WOS:001490437900001

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WILEY

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alfa\\-feto protein, chronic hepatitis C, classification, diagnosis of cirrhosis, machine learning

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https://openaccess.acibadem.edu.tr/handle/11443/5011

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Assisting the Diagnosis of Cirrhosis in Chronic Hepatitis C Patients Based on Machine Learning Algorithms: A Novel Non-Invasive Approach

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