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Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline

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Published in:Advances in Virology
Format: Online Article RSS Article
Published: 2026
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container_title Advances in Virology
description
discipline_display Communicable Diseases, Epidemiology
discipline_facet Communicable Diseases, Epidemiology
format Online Article
RSS Article
genre Journal Article
id rss_article:101675
institution FRELIP
journal_source_facet Advances in Virology
last_indexed 2026-07-10T03:36:52.846Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
sub_discipline_display General
sub_discipline_facet General
subject_display Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
subject_facet Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
title Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_alt Predicción de la respuesta al tratamiento en pacientes coinfectados con hepatitis B y hepatitis C utilizando un pipeline de regresión logística a prueba de fugas y validado internamente
Prédiction de la réponse au traitement chez les patients co-infectés par l'hépatite B et l'hépatite C à l'aide d'un pipeline de régression logistique validé en interne et sans fuite
Predição de Resposta ao Tratamento em Pacientes Coinfectados com Hepatite B e Hepatite C Usando um Pipeline de Regressão Logística Internamente Validado e à Prova de Vazamento
title_auth Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_es_txt Predicción de la respuesta al tratamiento en pacientes coinfectados con hepatitis B y hepatitis C utilizando un pipeline de regresión logística a prueba de fugas y validado internamente
title_fr_txt Prédiction de la réponse au traitement chez les patients co-infectés par l'hépatite B et l'hépatite C à l'aide d'un pipeline de régression logistique validé en interne et sans fuite
title_full Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_fullStr Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_full_unstemmed Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_pt_txt Predição de Resposta ao Tratamento em Pacientes Coinfectados com Hepatite B e Hepatite C Usando um Pipeline de Regressão Logística Internamente Validado e à Prova de Vazamento
title_short Prediction of Treatment Response in Hepatitis B and Hepatitis C Coinfected Patients Using a Leakage-Proof, Internally Validated Logistic Regression Pipeline
title_sort prediction of treatment response in hepatitis b and hepatitis c coinfected patients using a leakage-proof, internally validated logistic regression pipeline
topic Communicable Diseases, Epidemiology
General
Communicable Diseases, Epidemiology
url https://www.hindawi.com/journals/av/2026/2578085/