{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,5]],"date-time":"2026-10-05T16:12:52Z","timestamp":1791216772433,"version":"4.1.0"},"reference-count":33,"publisher":"e-Century Publishing Corporation","issue":"7","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Am J Transl Res"],"DOI":"10.62347\/kevq8263","type":"journal-article","created":{"date-parts":[[2025,7,31]],"date-time":"2025-07-31T06:15:14Z","timestamp":1753942514000},"page":"4939-4951","source":"Crossref","is-referenced-by-count":6,"title":["A machine learning model for non-invasive prediction of advanced liver fibrosis in patients with chronic hepatitis B"],"prefix":"10.62347","volume":"17","author":[{"given":"Jingwei","family":"Song","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"48694","published-online":{"date-parts":[[2025]]},"reference":[{"key":"ref0","doi-asserted-by":"publisher","first-page":"290","DOI":"10.1007\/s12072-021-10137-2","article-title":"Chronic hepatitis B: the demise of the ‘inactive carrier’ phase","volume":"15","author":"Koffas","year":"2021","unstructured":"Koffas A, Kumar M, Gill US, Jindal A, Kennedy PTF and Sarin SK. Chronic hepatitis B: the demise of the ‘inactive carrier’ phase. Hepatol Int 2021; 15: 290-300.","journal-title":"Hepatol Int"},{"key":"ref1","doi-asserted-by":"publisher","first-page":"265","DOI":"10.3390\/v17020265","article-title":"The key importance of screening underprivileged people in order to achieve global hepatitis virus elimination targets","volume":"17","author":"Gragnani","year":"2025","unstructured":"Gragnani L, Monti M, De Giorgi I and Zignego AL. The key importance of screening underprivileged people in order to achieve global hepatitis virus elimination targets. Viruses 2025; 17: 265.","journal-title":"Viruses"},{"key":"ref2","doi-asserted-by":"publisher","first-page":"2608","DOI":"10.1007\/s10620-021-07009-y","article-title":"Liver fibrosis in the natural course of chronic hepatitis B viral infection: a systematic review with meta-analysis","volume":"67","author":"Lin","year":"2022","unstructured":"Lin MH, Li HQ, Zhu L, Su HY, Peng LS, Wang CY, He CP, Liang XE and Wang Y. Liver fibrosis in the natural course of chronic hepatitis B viral infection: a systematic review with meta-analysis. Dig Dis Sci 2022; 67: 2608-2626.","journal-title":"Dig Dis Sci"},{"key":"ref3","doi-asserted-by":"publisher","first-page":"605","DOI":"10.3350\/cmh.2022.0342","article-title":"Development of hepatocellular carcinoma in treated and untreated patients with chronic hepatitis B virus infection","volume":"29","author":"Lin","year":"2023","unstructured":"Lin CL and Kao JH. Development of hepatocellular carcinoma in treated and untreated patients with chronic hepatitis B virus infection. Clin Mol Hepatol 2023; 29: 605-622.","journal-title":"Clin Mol Hepatol"},{"key":"ref4","doi-asserted-by":"publisher","first-page":"1784","DOI":"10.5114\/aoms\/187079","article-title":"Progress and prospects of elastography techniques in the evaluation of fibrosis in chronic liver disease","volume":"20","author":"Wang","year":"2024","unstructured":"Wang Y, Yang X and Wang S. Progress and prospects of elastography techniques in the evaluation of fibrosis in chronic liver disease. Arch Med Sci 2024; 20: 1784-1792.","journal-title":"Arch Med Sci"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"Wang L, Li J, Yang K, Zhang H, Wang Q, Lv X and Guan S. Comparison and evaluation of non-invasive models in predicting liver inflammation and fibrosis of chronic hepatitis B virus-infected patients with high hepatitis B virus DNA and normal or mildly elevated alanine transaminase levels. Medicine (Baltimore) 2020; 99: e20548.","DOI":"10.1097\/MD.0000000000020548"},{"key":"ref6","doi-asserted-by":"publisher","first-page":"3841","DOI":"10.1097\/MS9.0000000000002095","article-title":"Evaluation of hepatic injury in chronic hepatitis B and C using APRI and FIB-4 indices compared to fibroscan results","volume":"86","author":"Najafi","year":"2024","unstructured":"Najafi N, Razavi A, Jafarpour H, Raei M, Azizi Z, Davoodi L, Abdollahi A and Frouzanian M. Evaluation of hepatic injury in chronic hepatitis B and C using APRI and FIB-4 indices compared to fibroscan results. Ann Med Surg (Lond) 2024; 86: 3841-3846.","journal-title":"Ann Med Surg (Lond)"},{"key":"ref7","doi-asserted-by":"publisher","first-page":"184","DOI":"10.1097\/MOG.0000000000000621","article-title":"The utility of liver biopsy in 2020","volume":"36","author":"Khalifa","year":"2020","unstructured":"Khalifa A and Rockey DC. The utility of liver biopsy in 2020. Curr Opin Gastroenterol 2020; 36: 184-191.","journal-title":"Curr Opin Gastroenterol"},{"key":"ref8","doi-asserted-by":"publisher","first-page":"278","DOI":"10.1186\/s12916-024-03502-z","article-title":"Serum dithiothreitol-oxidizing capacity (DOC) is a promising biomarker for excluding significant liver fibrosis: a proof-of-concept study","volume":"22","author":"Yang","year":"2024","unstructured":"Yang L, Zhang Y, Hong X, Zhang K, Liu B, Zhang P, Tang Q, Yu J, Jin XZ, Jin XZ, Zhang N, Targher G, Byrne CD, Zhang Z, Zheng MH and Zhang J. Serum dithiothreitol-oxidizing capacity (DOC) is a promising biomarker for excluding significant liver fibrosis: a proof-of-concept study. BMC Med 2024; 22: 278.","journal-title":"BMC Med"},{"key":"ref9","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1186\/s12876-025-03655-y","article-title":"Machine learning-based plasma metabolomics for improved cirrhosis risk stratification","volume":"25","author":"Song","year":"2025","unstructured":"Song J, Gao Z, Lai L, Zhang J, Liu B, Sang Y, Chen S, Qi J, Zhang Y, Kai H and Ye W. Machine learning-based plasma metabolomics for improved cirrhosis risk stratification. BMC Gastroenterol 2025; 25: 61.","journal-title":"BMC Gastroenterol"},{"key":"ref10","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1186\/s12911-024-02749-z","article-title":"Explainable machine learning model for predicting the risk of significant liver fibrosis in patients with diabetic retinopathy","volume":"24","author":"Zhu","year":"2024","unstructured":"Zhu G, Yang N, Yi Q, Xu R, Zheng L, Zhu Y, Li J, Che J, Chen C, Lu Z, Huang L, Xiang Y and Zheng T. Explainable machine learning model for predicting the risk of significant liver fibrosis in patients with diabetic retinopathy. BMC Med Inform Decis Mak 2024; 24: 332.","journal-title":"BMC Med Inform Decis Mak"},{"key":"ref11","doi-asserted-by":"publisher","first-page":"101540","DOI":"10.1016\/j.aohep.2024.101540","article-title":"Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein","volume":"29","author":"Xu","year":"2024","unstructured":"Xu Y, Zhang B, Zhou F, Yi YP, Yang XL, Ouyang X and Hu H. Development of machine learning-based personalized predictive models for risk evaluation of hepatocellular carcinoma in hepatitis B virus-related cirrhosis patients with low levels of serum alpha-fetoprotein. Ann Hepatol 2024; 29: 101540.","journal-title":"Ann Hepatol"},{"key":"ref12","doi-asserted-by":"publisher","first-page":"12081","DOI":"10.1038\/s41598-024-63095-8","article-title":"A machine learning-based model analysis for serum markers of liver fibrosis in chronic hepatitis B patients","volume":"14","author":"Zhang","year":"2024","unstructured":"Zhang C, Shu Z, Chen S, Peng J, Zhao Y, Dai X, Li J, Zou X, Hu J and Huang H. A machine learning-based model analysis for serum markers of liver fibrosis in chronic hepatitis B patients. Sci Rep 2024; 14: 12081.","journal-title":"Sci Rep"},{"key":"ref13","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.ultrasmedbio.2019.09.004","article-title":"A new multimodel machine learning framework to improve hepatic fibrosis grading using ultrasound elastography systems from different vendors","volume":"46","author":"Durot","year":"2020","unstructured":"Durot I, Akhbardeh A, Sagreiya H, Loening AM and Rubin DL. A new multimodel machine learning framework to improve hepatic fibrosis grading using ultrasound elastography systems from different vendors. Ultrasound Med Biol 2020; 46: 26-33.","journal-title":"Ultrasound Med Biol"},{"key":"ref14","doi-asserted-by":"publisher","first-page":"3143","DOI":"10.1038\/s41598-025-87427-4","article-title":"A machine learning based algorithm accurately stages liver disease by quantification of arteries","volume":"15","author":"Li","year":"2025","unstructured":"Li Z, Sun X, Zhao Z, Yang Q, Ren Y, Teng X, Tai DCS, Wanless IR, Schattenberg JM and Liu C. A machine learning based algorithm accurately stages liver disease by quantification of arteries. Sci Rep 2025; 15: 3143.","journal-title":"Sci Rep"},{"key":"ref15","doi-asserted-by":"publisher","first-page":"1552","DOI":"10.3390\/ijms23031552","article-title":"Hepatitis B flare in hepatitis B e antigen-negative patients: a complicated cascade of innate and adaptive immune responses","volume":"23","author":"Chang","year":"2022","unstructured":"Chang ML and Liaw YF. Hepatitis B flare in hepatitis B e antigen-negative patients: a complicated cascade of innate and adaptive immune responses. Int J Mol Sci 2022; 23: 1552.","journal-title":"Int J Mol Sci"},{"key":"ref16","doi-asserted-by":"publisher","first-page":"1143","DOI":"10.1080\/17474124.2018.1530110","article-title":"An update on the recent advances in antifibrotic therapy","volume":"12","author":"Tacke","year":"2018","unstructured":"Tacke F and Weiskirchen R. An update on the recent advances in antifibrotic therapy. Expert Rev Gastroenterol Hepatol 2018; 12: 1143-1152.","journal-title":"Expert Rev Gastroenterol Hepatol"},{"key":"ref17","doi-asserted-by":"publisher","first-page":"1101","DOI":"10.3748\/wjg.v27.i11.1101","article-title":"Long-term follow-up of cumulative incidence of hepatocellular carcinoma in hepatitis B virus patients without antiviral therapy","volume":"27","author":"Jiang","year":"2021","unstructured":"Jiang XY, Huang B, Huang DP, Wei CS, Zhong WC, Peng DT, Huang FR and Tong GD. Long-term follow-up of cumulative incidence of hepatocellular carcinoma in hepatitis B virus patients without antiviral therapy. World J Gastroenterol 2021; 27: 1101-1116.","journal-title":"World J Gastroenterol"},{"key":"ref18","doi-asserted-by":"publisher","first-page":"1133","DOI":"10.1097\/00042737-200210000-00015","article-title":"Prothrombin index is an indirect marker of severe liver fibrosis","volume":"14","author":"Croquet","year":"2002","unstructured":"Croquet V, Vuillemin E, Ternisien C, Pilette C, Oberti F, Gallois Y, Trossaert M, Rousselet MC, Chappard D and Calès P. Prothrombin index is an indirect marker of severe liver fibrosis. Eur J Gastroenterol Hepatol 2002; 14: 1133-1141.","journal-title":"Eur J Gastroenterol Hepatol"},{"key":"ref19","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.3390\/ijms22063113","article-title":"Till death do us part-the multifaceted role of platelets in liver diseases","volume":"22","author":"Mussbacher","year":"2021","unstructured":"Mussbacher M, Brunnthaler L, Panhuber A, Starlinger P and Assinger A. Till death do us part-the multifaceted role of platelets in liver diseases. Int J Mol Sci 2021; 22: 3113.","journal-title":"Int J Mol Sci"},{"key":"ref20","unstructured":"Li Y, Wei S, Wang J, Hong L, Cui L and Wang C. Analysis of the factors associated with abnormal coagulation and prognosis in patients with non-small cell lung cancer. Zhongguo Fei Ai Za Zhi 2014; 17: 789-796."},{"key":"ref21","doi-asserted-by":"publisher","first-page":"7873","DOI":"10.3390\/ijms25147873","article-title":"Liver fibrosis: from basic science towards clinical progress, focusing on the central role of hepatic stellate cells","volume":"25","author":"Akk&#x131","year":"2024","unstructured":"Akkız H, Gieseler RK and Canbay A. Liver fibrosis: from basic science towards clinical progress, focusing on the central role of hepatic stellate cells. Int J Mol Sci 2024; 25: 7873.","journal-title":"Int J Mol Sci"},{"key":"ref22","doi-asserted-by":"publisher","first-page":"3845","DOI":"10.2147\/DDDT.S308713","article-title":"The Jieduan-Niwan (JDNW) formula ameliorates hepatocyte apoptosis: a study of the inhibition of E2F1-mediated apoptosis signaling pathways in Acute-on-Chronic Liver Failure (ACLF) using rats","volume":"15","author":"Hou","year":"2021","unstructured":"Hou W, Hao Y, Yang W, Tian T, Fang P, Du Y, Gao L, Gao Y and Zhang Q. The Jieduan-Niwan (JDNW) formula ameliorates hepatocyte apoptosis: a study of the inhibition of E2F1-mediated apoptosis signaling pathways in Acute-on-Chronic Liver Failure (ACLF) using rats. Drug Des Devel Ther 2021; 15: 3845-3862.","journal-title":"Drug Des Devel Ther"},{"key":"ref23","unstructured":"Peng J, He G, Chen H and Kuang X. Study on correlation between coagulation indexes and disease progression in patients with cirrhosis. Am J Transl Res 2021; 13: 4614-4623."},{"key":"ref24","doi-asserted-by":"publisher","first-page":"107563","DOI":"10.1016\/j.compbiomed.2023.107563","article-title":"Liver fibrosis emulation: Impact of the vascular fibrotic alterations on hemodynamics","volume":"166","author":"Torres Rojas","year":"2023","unstructured":"Torres Rojas AM and Lorente S. Liver fibrosis emulation: Impact of the vascular fibrotic alterations on hemodynamics. Comput Biol Med 2023; 166: 107563.","journal-title":"Comput Biol Med"},{"key":"ref25","doi-asserted-by":"publisher","first-page":"2830","DOI":"10.1080\/07853890.2022.2132418","article-title":"The role of hepatic microenvironment in hepatic fibrosis development","volume":"54","author":"Meng","year":"2022","unstructured":"Meng Y, Zhao T, Zhang Z and Zhang D. The role of hepatic microenvironment in hepatic fibrosis development. Ann Med 2022; 54: 2830-2844.","journal-title":"Ann Med"},{"key":"ref26","doi-asserted-by":"publisher","first-page":"3534","DOI":"10.3748\/wjg.v29.i22.3534","article-title":"Difference and clinical value of metabolites in plasma and feces of patients with alcohol-related liver cirrhosis","volume":"29","author":"YF","year":"2023","unstructured":"Xu YF, Hao YX, Ma L, Zhang MH, Niu XX, Li Y, Zhang YY, Liu TT, Han M, Yuan XX, Wan G and Xing HC. Difference and clinical value of metabolites in plasma and feces of patients with alcohol-related liver cirrhosis. World J Gastroenterol 2023; 29: 3534-3547.","journal-title":"World J Gastroenterol"},{"key":"ref27","unstructured":"Bunchorntavakul C, Supanun R and Atsawarungruangkit A. Nutritional status and its impact on clinical outcomes for patients admitted to hospital with cirrhosis. J Med Assoc Thai 2016; 99 Suppl 2: S47-55."},{"key":"ref28","doi-asserted-by":"publisher","unstructured":"Wang J, Xu Y, Chen Z, Liang J, Lin Z, Liang H, Xu Y, Wu Q, Guo X, Nie J, Lu B, Huang B, Xian H, Wang X, Wu Q, Zeng J, Chai C, Zhang M, Lin Y, Zhang L, Zhao S, Tong Y, Zeng L, Gu X, Chen ZG, Yi S, Zhang T, Delfouneso D, Zhang Y, Nutt SL, Lew AM, Lu L, Bai F, Xia H, Wen Z and Zhang Y. Liver immune profiling reveals pathogenesis and therapeutics for biliary atresia. Cell 2020; 183: 1867-1883, e1826.","DOI":"10.1016\/j.cell.2020.10.048"},{"key":"ref29","doi-asserted-by":"publisher","first-page":"1181","DOI":"10.1002\/hep.32662","article-title":"Hepatocyte-derived MASP1-enriched small extracellular vesicles activate HSCs to promote liver fibrosis","volume":"77","author":"Liu","year":"2023","unstructured":"Liu X, Tan S, Liu H, Jiang J, Wang X, Li L and Wu B. Hepatocyte-derived MASP1-enriched small extracellular vesicles activate HSCs to promote liver fibrosis. Hepatology 2023; 77: 1181-1197.","journal-title":"Hepatology"},{"key":"ref30","doi-asserted-by":"publisher","first-page":"104151","DOI":"10.1016\/j.compbiomed.2020.104151","article-title":"Machine learning model for predicting malaria using clinical information","volume":"129","author":"YW","year":"2021","unstructured":"Lee YW, Choi JW and Shin EH. Machine learning model for predicting malaria using clinical information. Comput Biol Med 2021; 129: 104151.","journal-title":"Comput Biol Med"},{"key":"ref31","doi-asserted-by":"publisher","unstructured":"Hu J and Szymczak S. A review on longitudinal data analysis with random forest. Brief Bioinform 2023; 24: bbad002.","DOI":"10.1093\/bib\/bbad002"},{"key":"ref32","doi-asserted-by":"publisher","unstructured":"Rui F, Xu L, Yeo YH, Xu Y, Ni W, Tan Y, Zheng Q, Tian X, Zeng QL, He Z, Qiu Y, Zhu C, Ding W, Wang J, Huang R, Xue Q, Wang X, Chen Y, Fan J, Fan Z, Ogawa E, Kwak MS, Qi X, Shi J, Wong VW, Wu C and Li J. Machine learning-based models for advanced fibrosis and cirrhosis diagnosis in chronic hepatitis B patients with hepatic steatosis. Clin Gastroenterol Hepatol 2024; 22: 2250-2260, e2212.","DOI":"10.1016\/j.cgh.2024.06.014"}],"container-title":["American Journal of Translational Research"],"original-title":[],"link":[{"URL":"https:\/\/e-century.us\/files\/ajtr\/17\/7\/ajtr0164740.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T01:56:27Z","timestamp":1766022987000},"score":1,"resource":{"primary":{"URL":"https:\/\/e-century.us\/files\/ajtr\/17\/7\/ajtr0164740.pdf"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":33,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2025]]}},"URL":"https:\/\/doi.org\/10.62347\/kevq8263","relation":{},"ISSN":["1943-8141"],"issn-type":[{"value":"1943-8141","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}