A New Intelligent Medical Decision Support System Based on Enhanced Hierarchical Clustering and Random Decision Forest for the Classification of Alcoholic Liver Damage, Primary Hepatoma, Liver Cirrhosis, and Cholelithiasis

Diagnosis of liver disease principally depends on physician’s subjective knowledge. Automatic prediction of the disease is a critical real-world medical problem. This work presents an EHC-ERF-based intelligence-integrated model purposive to predict different types of liver disease including alcoholic liver damage, primary hepatoma, liver cirrhosis, and cholelithiasis. These diseases cause many clinical complications, and their accurate assessment is the only way for providing efficient treatment facilities to patients. EHC is deployed to divide the data into a hierarchy structure that is more informative for the disease predictions carried out by ERF. The occurrence of ERF error rate was dependent on correlation and strength of each individual tree where correlation is directly proportional to forest error rate and strength is inversely proportional to the forest rate. In total, two individual and three integrated classification models are developed to achieve enhanced predictions for the liver disease types. Analysis of results showed that the proposed framework achieved better outcomes in terms of accuracy, true positive rate, precision, F-measure, kappa statistic, mean absolute error, and root mean squared error. Furthermore, it achieved the highest accuracy rates when compared with the state-of-the-art techniques. Results also indicated that the weighted distance function employed in EHC has improved the efficiency of proposed system and has shown the capability to be used by physicians for diagnostic advice.

Studies on the Identification of Constituents in Ethanol Extract of Radix Glycyrrhizae and Their Anti-Primary Hepatoma Cell Susceptibility

The objective of this paper is to study the chemical constituents of Radix Glycyrrhizae and to apply the resulting natural products in the study of drug susceptibility of hepatoma cells so as to provide a scientific basis for quality standards and clinical application of medicinal Radix Glycyrrhizae. Chromatographic materials were used for isolation and purification; structural identification was performed based on physicochemical properties and spectral data. MTT colorimetry was used to detect the proliferation inhibition rate against primary hepatoma cells by natural products, and flow cytometry was used to detect the changes in cell cycle progression. Five compounds were isolated and identified, namely, liquiritigenin (1), liquiritin (2), isoliquiritigenin (3), betulinic acid (4), and oleanolic acid (5). In the study, 5-FU (5-fluorouracil) is used as a positive control to the hepatoma cells. Primary hepatoma cells were highly susceptible to 5-FU and liquiritigenin, both of which markedly inhibited the proliferation of hepatoma cells; flow cytometry results showed an increase in G0/G1 phase cells, a decrease in S phase cells, and a relative increase in G2/M phase cells. Primary hepatoma cells are highly susceptible to liquiritigenin, a natural product; the testing of tumor cell susceptibility is of important significance to the improvement of therapeutic effect of cancer.

Tissue Polypeptide Specific Antigen as a Marker Used to Determine the Liver Diseases

Background Tissue polypeptide specific antigen and its specific M3 epitope are increased in malignant as well as in some benign diseases. The level of tissue polypeptide specific antigen in serum is related mostly to proliferation capacity rather than tumor mass and cell necrosis. Objective The aim of this study was to evaluate the levels of tissue polypeptide specific antigen and other tumor markers in patients with liver cirrhosis, chronic active hepatitis and hepatoma to determine if tissue polypeptide specific antigen is important to other tumor markers in hepatoma patients. Methods Ninty-seven patients and 30 controls were included in the study. The patients were divided into three subgroups as cirrhosis, hepatoma and chronic active hepatitis. The levels of tissue polypeptide specific antigen, carcinoembryonic antigen, CA19.9, alpha-fetoprotein and transaminases were determined in all patients. Results Tissue polypeptide specific antigen levels were significantly higher in all patients than in the control group (p<0.005) According to Kruskal-Wallis test with regard to subgroups, the differences in mean values of tissue polypeptide specific antigen and alpha-fetoprotein were significant (p<0.0001 for both). There was a low correlation between tissue polypeptide specific antigen and alpha-fetoprotein in the cirrhotic and hepatoma groups, but these were significantly correlated in the chronic active hepatitis group. The correlation coefficient between tissue polypeptide specific antigen and transaminases in all patients was low. Conclusions Tissue polypeptide specific antigen is efficient for determining primary hepatoma patients and also that this marker is specific for proliferation of cells. http://dx.doi.org/10.3126/kumj.v9i1.6257 Kathmandu Univ Med J 2011;9(1):24-7