• The Korean Journal of Nuclear Medicine
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• v.17 no.2
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• pp.49-55
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• 1983

By radioimmunoassay, serologic markers of Hepatitis B Virus were studied in 44 patients with acute viral hepatitis, 10 patients with chronic persistent hepatitis, 10 patients with chronic active hepatitis, 44 patients with liver cirrhosis and 25 patients with primary hepato cellular carcinoma. The results were follows: 1) HBsAg was present in 77.2% of AVH, 40% of CPH, 80% of CAH, 55.1% of LC and 68 % of PHC. In this HBsAg positive groups, all but one in liver cirrhosis had Anti-HBc. 2) Anti-HBs was most commonly detected in CPR and accompanied by Anti-HBc except one case in AVH. 3) Anti-HBc was the only marker detected in 11.4% of AVH, 20% of CPH, 20% of CAH, 16.3% of LC and 8% of PHC. 4) HBeAg was most commonly found in HBsAg-positive CPH but Anti-HBe was most frequently detected in PHC. 5) The absence of HBV markers was noted in 2.3% of AVH, 10% of CPH, 8% of PHC except CAH and LC.

• Journal of the Korean Data and Information Science Society
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• v.25 no.5
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• pp.1095-1106
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• 2014

Symbolic data analysis extends the data mining and exploratory data analysis to the knowledge mining, we can suggest the SDA tree model on clinical and genomic data with new knowledge mining SDA approach. Using SDA application for huge genomic SNP data, we can get the correlation the availability of understanding of hidden structure of HCC data could be proved. We can confirm validity of application of SDA to the tree structured progression model and to quantify the clinical lab data and SNP data for early diagnosis of HCC. Our proposed model constructs the representative model for HCC survival time and causal association with their SNP gene data. To fit the simple and easy interpretation tree structured survival model which could reduced from huge clinical and genomic data under the new statistical theory of knowledge mining with SDA.