BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Shang G, Richardson A, Gahan ME, Easteal S, Ohms S, Lidbury BA. Predicting the presence of hepatitis B virus surface antigen in Chinese patients by pathology data mining. J Med Virol 2013;85:1334-9. [PMID: 23765772 DOI: 10.1002/jmv.23609] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.2] [Reference Citation Analysis]
Number Citing Articles
1 Richardson A, Signor BM, Lidbury BA, Badrick T. Clinical chemistry in higher dimensions: Machine-learning and enhanced prediction from routine clinical chemistry data. Clinical Biochemistry 2016;49:1213-20. [DOI: 10.1016/j.clinbiochem.2016.07.013] [Cited by in Crossref: 16] [Cited by in F6Publishing: 10] [Article Influence: 2.7] [Reference Citation Analysis]
2 Wang Y, Du Z, Lawrence WR, Huang Y, Deng Y, Hao Y. Predicting Hepatitis B Virus Infection Based on Health Examination Data of Community Population. Int J Environ Res Public Health 2019;16:E4842. [PMID: 31810204 DOI: 10.3390/ijerph16234842] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Chin CY, Weng MY, Lin TC, Cheng SY, Yang YH, Tseng VS. Mining disease risk patterns from nationwide clinical databases for the assessment of early rheumatoid arthritis risk. PLoS One 2015;10:e0122508. [PMID: 25875441 DOI: 10.1371/journal.pone.0122508] [Cited by in Crossref: 12] [Cited by in F6Publishing: 5] [Article Influence: 1.7] [Reference Citation Analysis]
4 Lidbury BA, Koerbin G, Richardson AM, Badrick T. Gamma-Glutamyl Transferase (GGT) Is the Leading External Quality Assurance Predictor of ISO15189 Compliance for Pathology Laboratories. Diagnostics (Basel) 2021;11:692. [PMID: 33924582 DOI: 10.3390/diagnostics11040692] [Reference Citation Analysis]
5 Saberi-Karimian M, Khorasanchi Z, Ghazizadeh H, Tayefi M, Saffar S, Ferns GA, Ghayour-Mobarhan M. Potential value and impact of data mining and machine learning in clinical diagnostics. Crit Rev Clin Lab Sci 2021;58:275-96. [PMID: 33739235 DOI: 10.1080/10408363.2020.1857681] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Rossi LM, Escobar-Gutierrez A, Rahal P. Advanced molecular surveillance of hepatitis C virus. Viruses 2015;7:1153-88. [PMID: 25781918 DOI: 10.3390/v7031153] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 1.0] [Reference Citation Analysis]
7 Lidbury BA. Predicting liver disease post hepatitis virus infection: In silico pathology and pattern recognition. EBioMedicine 2018;35:10-1. [PMID: 30146340 DOI: 10.1016/j.ebiom.2018.08.032] [Reference Citation Analysis]
8 Wei R, Wang J, Wang X, Xie G, Wang Y, Zhang H, Peng CY, Rajani C, Kwee S, Liu P, Jia W. Clinical prediction of HBV and HCV related hepatic fibrosis using machine learning. EBioMedicine 2018;35:124-32. [PMID: 30100397 DOI: 10.1016/j.ebiom.2018.07.041] [Cited by in Crossref: 29] [Cited by in F6Publishing: 26] [Article Influence: 7.3] [Reference Citation Analysis]
9 Richardson AM, Lidbury BA. Enhancement of hepatitis virus immunoassay outcome predictions in imbalanced routine pathology data by data balancing and feature selection before the application of support vector machines. BMC Med Inform Decis Mak 2017;17:121. [PMID: 28806936 DOI: 10.1186/s12911-017-0522-5] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 1.8] [Reference Citation Analysis]