The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we introduce a method of functionally classifying lung cancer cells from normal cells by using Tetrakis Carboxy Phenyl Porphine (TCPP) and well-known computational intelligent techniques. Tetrakis Carboxy Phenyl Porphine (TCPP) is a porphyrin that is able to label cancer cells due to the increased numbers of low density lipoproteins coating the surface of cancer cells and the porous...
In this paper, we investigated the use of gene coexpression network analyses to identify potential biomarkers for breast carcinoma prognosis. The network mining algorithm CODENSE is used to identify highly connected genome-wide gene co-expression networks among a variety of cancer types, and the resulted gene clusters are applied to a series of breast cancer microarray sets to categorize the patients...
Facing the phenomenon of "ageing population", the diagnosis and treatment of prostate cancer has become a serious menpsilas health issue in Taiwan. This study aimed to provide new scientific and quantitative information for traditional Chinese medicine (TCM) physicians in clinical practice of prostate cancer. In this study, data mining techniques were employed to explore the hidden knowledge...
Prostate cancer is a disease which is the most common and which is also the second deadly in men. When prostate cancer can be diagnosed early, medical surgery operation can be performed and the disease can be treated. In this study, the aim is to design a classifier based expert system for early diagnosis of the organ in constraint phase. The other purpose is to reach informed decision making without...
In this study, subtractive clustering method is used in order to obtain membership functions and rule base of fuzzy classifier system. Neighborhood radii of subtractive clustering method which directly effects the system dynamic and number of rules in the fuzzy classifier, is obtained by new simulated annealing optimization algorithm. The proposed classifier is firstly applied on pap-smear test which...
Genetic analyses of cancer diseases are satisfying contributions to diagnosis and to treat the cancer diseases. The aim of this study is to decrease the gene size of large gene databases using gene selection for the therapy of cancer diseases. In this study, linguistic hedge based adaptive neuro-fuzzy classifiers are used, and the success of the method is demonstrated with selected genes.
Data mining algorithms are commonly used for cancer classification. Prediction models were widely used to classify cancer cells in human body. This paper focuses on finding small number of genes that can best predict the type of cancer. From the samples taken from several groups of individuals with known classes, the group to which a new individual belongs to is determined accurately. The paper uses...
Many previous research papers have demonstrated that microarray gene expression data are useful for disease classification and medical diagnosis. Cancer microarray data normally have a particular characteristic where features (genes) greatly exceed the instance (tissue sample) numbers. Selecting appropriate numbers and relevant features to differentiate different types of cancer remains a challenge...
Data mining is one of the techniques of taking information of unordinary and unknown potential value out of large-scale data. The main idea of rough set method of data mining is to divide knowledge with undistinguishable relationship, to describe the concept with the upper and lower approximation, and to reach the rules of decision-making or classification through the reduction of knowledge. By means...
Breast cancer is a serious problem, especially the young women in Taiwan. Until now, in the most medical researches, the reasons for suffering from breast tumor are unclear. However, most medical researches proved that DNA viruses are the high-risk factors closely related to human cancers. In recent years, hospitals and health organizations have been furnished with modern computerized medical equipment...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.