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Lower Intrafamilial Transmission Rate of Hepatitis B in Patients With Hepatitis D Coinfection: A Data-Mining Approach
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نویسنده
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Pournik Omid ,Alavian Moayed ,Ghalichi Leila ,Hajibeigi Bashir ,Razavi Amir Reza ,Eslami Saeid
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منبع
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hepatitis monthly - 2013 - دوره : 13 - شماره : 5 - صفحه:1 -5
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چکیده
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Background: the presence of an infected family member significantly increases the risk of hbv transmission, but many socio-demographic and viral characteristics of family members affect the transmission rate. objectives: in this study, we have used data mining techniques to investigate the impact of different variables in intrafamilial transmission of hbv infection. patients and methods: demographic information, viral markers, and medical history of 330 patients with chronic hepatitis b and their offspring attending a referral center in tehran were collected. data-mining techniques were administered to detect patterns. results: the overall transmission rate was 15.7% (5.4% and 27.3% for male and female index cases respectively). in female patients, hbe ag positively affected the transmission rate (49% vs. 23.4%). there was a dominant change in transmission rate of female patients with negative results for hbe ag with hdv coinfection, where the transmission rate changed from 25% in patients with negative results for hdv ab to 5% in those with positive results. in hbe ag negative male index cases, the transmission rate was 1.3% in cases with positive results for hdv ab compared to 7% in those with negative findings. the overall transmission rate was statistically different between patients with positive and negative results for hdv ab (p = 0.016). conclusions: there is a minor but consistent pattern change in the presence of hdv infection which reduces familial transmission of hbv, especially in female patients with negative results for hbe ag.
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کلیدواژه
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Data Mining; Hepatitis B Virus; Hepatitis D; Machine Learning
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آدرس
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mashhad university of medical sciences, Faculty of Medicine, Medical Informatics Research Center, Department of Medical Informatics, ایران, Middle East Liver Disease Center, ایران, iran university of medical sciences, Deputy for Research, ایران, Iranian Blood Transfusion Organization Research Center, ایران, mashhad university of medical sciences, Faculty of Medicine, Department of Medical informatics, ایران, mashhad university of medical sciences, Faculty of Medicine, Medical Informatics Research Center, Department of Medical Informatics, ایران
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Authors
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