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Breast cancer is the most common cause of death in women and the second leading cause of cancer deaths worldwide. Primary prevention in the early stages of the disease becomes complex as the causes remain almost unknown. However, some typical signatures of this disease, such as lumps and microcalcifications appearing on mammograms, can be used to improve early diagnostic techniques, which is critical for womens quality of life. X-ray mammography is the main test used for screening and early diagnosis, and its analysis and processing are the keys to improving breast cancer prognosis. In this paper, we have presented a novel approach to identify the presence of breast cancer lumps in mammograms. The proposed algorithm for selecting initial cluster centers on the basis of minimal spanning tree (MST) is presented. MST initialization method for the intuitionistic fuzzy c-means clustering algorithm for clear to identify of abnormalities for mammography images and Breast cancer patients symptoms used to predictive probability calculated by Pearson Chi-Square (χ 2 ) test at 0.05 significance level indicate a highly significant correlation between mammography performance and clinical symptoms of breast cancer. Our findings suggest that mammography is highly efficient and promising technique.

Hyperlipidemia is considered as one of the leading causes of death in the world. Several lipid reducing agents and synthetic oxidants are used for the treatment but the undesirable side effects associated with those drugs emphasis in the search of alternative safe medicine with improved efficacy. This study has carried out to determine the effectiveness of Colchicum Autumnale in hyperlipidemia. Five cases of hyperlipidemia were treated with homeopathic medicine Colchicum Autumnale without aggravating the total cholesterol value. Assessment of homoeopathic treatment and its effect was carried out using repeating total cholesterol level every 2-3 months. This case series has shown promising outcomes and a further high-quality clinical trials are needed for the establishment of effectiveness data for the medicine.

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