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| Published in: | Advances in Virology |
|---|---|
| Format: | Online Article RSS Article |
| Published: |
2026
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| Subjects: | |
| Tags: |
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| _version_ | 1870297419533516800 |
|---|---|
| collection | WordPress RSS FRELIP Feed Integration |
| 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/ |