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.
Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure. Very often, in some domains, like medicine, a prior structure is already known based on expert knowledge. This structure can be automatically or manually refined in search for better performance models. In this work, we take Bayesian networks built by specialists and...
Triple negative breast cancers (TNBC) are clinically heterogeneous, an aggressive subtype with poor diagnosis and strong resistance to therapy. There is a need to identify novel robust biomarkers with high specificity for early detection and therapeutic intervention. Microarray gene expression-based studies have offered significant advances in molecular classification and identification of diagnostic/prognostic...
Mammary gland hyperplasia (MGH) is a kind of endocrine disorder diseases, which is usually characterized by lump and pain in breast and an increased risk event of breast cancer. The complementary therapies of Traditional Chinese Medicine (TCM) play important roles in MGH treatment. This study analyzed the application of the TCM external therapy and food therapy by text mining. Subsequently, suitable...
Nowadays, pathologist« grade breast cancer histopathology slides by microscopes based on Nottingham as an international standard. The mitotic counting is one of the three scoring criteria in Nottingham standard for breast cancer grading based on histopathology slide image studies. Large number of non-mitosis organs, which exists in histopathology slide tissue, is one of the most important challenges...
In this paper, an algorithm is presented for extracting fuzzy rules from the Breast Cancer dataset. To extract fuzzy rules, an imitation based evolutionary algorithm is used called Krill Herd (KH). The KH algorithm is converted to a binary algorithm here, and is used for the classification problem with innovation, named Binary Krill Herd-based Fuzzy Rule Miner (BKH-FRM). Choosing the best krill and...
Due to continual hormonal changes at various ages, breast cancer is the most commonly occurring cancer among women, worldwide, with about 1.4 million new cases and 500,000 deaths, each year. This necessitates alternative therapy as the current standard of cure doesn't work for all. Towards this, we propose the use of the natural herb, turmeric. It has the anti-septic, anti-inflammatory and anti-tumorous...
Mitotic activity is one of the main criteria that pathologists use to decide the grade of the cancer. Computerised mitotic cell detection promises to bring efficiency and accuracy into the grading process. However, detection and classification of mitotic cells in breast cancer histopathology images is a challenging task because of the large intra-class variation in the visual appearance of mitotic...
The identification of new therapeutic uses of existing drugs, or drug repositioning, offers the possibility of faster drug development, reduced risk, lesser cost and shorter paths to approval. Several computational methods have been proposed in the literature that makes use of publicly available transcriptional data to reposition drugs against diseases. In this work, we carry out a data mining process...
Early detection of breast cancer has been shown to increase patient survival rates, therefore an early detection system that identifies lesions under the skin could help save lives. The lesions, or potentially cancerous tissue masses, have a higher modulus of elasticity, making them stiffer than surrounding healthy tissue. This subsurface sensing device is needed because all current methods of detection...
Microcalcifications are small deposits of calcium accumulated in breast tissue. They are situated in higher gray level regions, with a very short gray level dynamic range. Besides, they have a small size with low contrast compared to the surrounding tissue. All these characteristics make micro-calcification's preprocessing a crucial task. In this paper, we propose a new approach for enhancing microcalcifications...
Cancer that emerging in tissues of breast is a breast cancer. Breast cancer has mainly stemmed from the lining of the milk ducts or lobules. The vast preponderance of breast cancer ailment appears in women than in men. There were approximately13, 668deaths from breast cancer diagnosed in women as per surveyed in 2009, it will be expected that there will be 17,210 breast cancer deaths in 2020. The...
ChlP-chip experiments are performed to determine binding sites for transcription factors (TFs). Conventional TF-gene regulation is generated based on p-value cutoff of the binding sites as well as their distance to nearest genes. Taking into account that binding sites of one ChlP-chip experiment should follow the same specific location distribution, we proposed a statistical model using both location...
We verified the variance of Wnt signaling pathway among different subtypes of breast cancer. Gene expression profile data of breast cancer (series number GSE19536) were obtained from Gene Expression Omnibus (GEO) database of National Center for Biotechnology Information (NCBI). Breast cancer samples were served as study materials. Gene expression data of Wnt signaling pathways were analyzed by variance...
Many techniques are available to find outliers. Out of those, local Outlier Factor (LOF) is quite efficient and well researched outliers mining algorithm. LOF quantifies, how much outlying an object is, in a given database. We proposed, in this paper, a modification in k-distance and named it m-distance that enhances the performance. k-distance is the distance between object and its kth nearest neighbor,...
In the last decade, several techniques of artificial intelligence proved their skills in the field of classification of cancer cells. We propose in this article a new idea of learning of the artificial immune systems (AIS) in the aim of improving CLONALG, one of the most popular algorithms in the field of the AIS. The principle of IMPROVED-CLONALG is to select the best cells to be cloned by calculating...
The most important determinant of prognosis and management of cancer is the presence or absence of metastasis [1]. The road to metastasis involves tumor cells to become detached from the primary tumor and travel in the blood to distant sites, causing secondary tumors. These tumor cells traveling in blood are termed Circulating tumor cells (CTC). Capture of CTC from whole blood has been a challenging...
A Mammography Database and Viewer System have collected and stored mammography images of Thai women, treated at the Radiology Department of Hospital in Rangsit, Pathumtani, Thailand, constructed a database using the digitized mammography images, and developed an image viewing system to display these digital mammograms. The images are stored with the high resolution Matrox Morphis (MOR/2VD/84*) frame...
With one million new cases in the world every year, breast cancer is the most common malignancy in women and it has been proved that an early diagnosis of the disease can help to strongly enhance the expectancy of survival. Mammography is the most effective imaging method for detecting no-palpable early-stage breast cancer. Image processing techniques has been used for processing the mammogram image...
There are some problems still exist in traditional individual Breast Cancer Diagnosis. To solve the problems, an individual credit assessment model based on support vector classification method is proposed. Using SPSS Clementine data mining tool, the personal credit data is clustering analysis by Support Vector Machine. It is analyzed in detail with the different kernel functions and parameters of...
Breast cancer is one of the major malignant tumors threatening the health of women. With the changes in people's lifestyle and diet, the incidence rate of breast cancer continues to rise all over the world. Despite the considerable progress in conventional cancer therapies such as surgery operation, radiotherapy, chemotherapy and incretion therapy, the intrinsic limitations of these therapies such...
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.