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One of the root causes of mortality in today's world is the culmination of several heart disease and diabetes illnesses. In clinical data analysis, predicting multiple diseases is a significant challenge. The machine learning approach has proved to be functional in assisting in the decision-making and governing of large amounts of data generated by the healthcare field. The various experiments scratch the surface of machine learning to predict different diseases. The papers present a novel method for identifying significant features using machine learning techniques, which improves the diagnosis of multi-purpose disease prediction. The different features and many well-known classification methods are used to implement the prediction model to predict the heart disease and diabetes. The proposed method utilizes ensemble approach for achieving a higher degree of accuracy rates for by using classification algorithms and feature selection methods. The proposed method implements voting classifier that has sigmoid SVC, AdaBoost, and Decision tree algorithms. The paper also implements the traditional classifiers and presents the comparison of different models in terms of accuracy. The web application is also developed for users to avail its services very easily and make it convenient for their use, particularly in the prediction of heart and diabetes collectively.

Introduction: Papillary squamotransitional cell carcinoma (PSTCC) arising from the uterine cervix is a distinctive histomorphological subtype of squamous cell carcinoma (SCC) not otherwise specified (NOS) of cervical epithelial tumors., Aim: The present study was undertaken to study the histopathological features and immunoexpression of CK7, CK20, p53 and Ki-67 in PSTCC of the cervix., Materials and Methods: This study included 43 cases of PSTCC of cervix. A technique of manual tissue array was employed along with IHC staining of entire section in some cases. The expression pattern of CK7, CK 20, p53 and Ki67 in PSTCC was studied and clinico-pathological correlation of various parameters with IHC expression of CK7 and CK20 was observed. Results were subjected to statistical analysis and were considered significant when the p-value was less than 0.05., Results: Out of 43 PSTCC cases, there were 38 squamotransitional type and 5 papillary type. Histomorphologically, all the cases studied were having fused papillae with rounded contours and fibrovascular cores with highest number of cases having intermediate cell type morphology (86%). Stromal invasion was seen in 74.4% of cases. Koilocytosis were seen in 39.3% of cases. Thirty-two cases showed CK7 immunopositivity (+) and CK20 immunonegativity (-), nine cases were both CK7 and CK20 - and two cases were CK7- and CK20+. Among them 90.7% cases were p53 positive and all cases were positive for Ki67 immunostaining with highest number of cases showing moderate proliferative activity (74.4%); followed by nine cases showing high (20.93%) and two cases showing low proliferative activity (4.65%)., Conclusion: The distinct histomorphology and CK7/CK20 immnunoprofile of PSTCC along with Ki67 and p53 could help in arriving at an accurate diagnosis as well predicting its biological behavior.

Introduction: Breast Cancer (BC) is the second most common cancer among women in India and accounts for 7% of global burden of BC and one-fifth of all Cancers (CA) among women in India., Aim: This study was conducted for studying the expression of MUC1, MUC2 and MUC5AC in breast carcinoma., Materials and Methods: Fifty cases of primary breast carcinoma diagnosed between years 2013 to 2015 were included in the study. Manual tissue array technique was applied for cases subjected to Immunohistochemistry (IHC). An analysis of the expression of IHC markers (MUC1, MUC2, MUC5AC, ER, PR and HER2/neu) was attempted. Results were subjected to statistical analysis. They were considered to be significant when the p-value was less than 0.05., Results: The positivity for MUC1, MUC2 and MUC5AC in BC was 58%, 8% and 6% and for ER, PR and HER2 was 48%, 36% and 64% respectively. There was a significant correlation between MUC1 expression and ER and PR positivity. There was a significant correlation between MUC2 expression and ER positivity. No significant association was observed between MUC2 and PR expression, MUC5AC expression and ER and PR positivity. There was statistically significant correlation between negative MUC2 and MUC5AC expression and histopathological grade. It was noted that MUC2 and MUC5AC negative tumours were associated with higher tumour stage though not statistically significant. It was noted that MUC5AC negative tumours showed higher frequency of lymphovascular invasion though not statistically significant., Conclusion: Our experience with the present study highlights the role of mucins in the development and progression of BC.

Introduction: Fibroepithelial tumours are a heterogeneous group of biphasic neoplasms consisting of a proliferation of both epithelial and stromal components. Fibroadenoma (FA) and Phyllodes Tumour (PT) constitute the major entities. It is crucial to distinguish benign from borderline PT (low grade malignant PT), because the former do not metastasize, have a lesser risk of local recurrence and initial local recurrences are histologically benign in almost all instances. Multiple Immunohistochemical (IHC) markers are being studied to find their utility in grading the PT accurately for planning proper treatment., Aim: To study, the IHC expression of CD10 in the stromal cells of a series of PTs and FA, with the aim of determining whether the degree of CD10 expression in the stromal cells is related to the grade of the tumour., Materials and Methods: Records of 28 cases of PT and 35 cases of FA received in the Department of Pathology in a tertiary care hospital were obtained. Histopathology reports and slides of all the cases were reviewed and clinical data such as age and histomorphological features such as tumour cellularity, stromal overgrowth, mitotic count and nuclear atypia were noted. Representative block of the tumour with maximum cellularity was subjected to CD10 staining. For FA and benign PT a technique of tissue microarray was used. For borderline and malignant PT, representative section was used. Stromal cell staining was assessed, using cytoplasmic staining of the breast myoepithelium as internal control., Results: Present study included 35 cases of FA, 20 cases of benign PT, five cases of borderline PT and three cases of malignant PT. The mean age of the patients increased with the increasing tumour grade of PT and this was also observed for FA and benign PT. The mean age increased with increase in tumour grade of PT and was statistically significant (p<0.05). The mean size did not increase with the increasing tumour grade of PT and was statistically insignificant (p=0.0429). Mean tumour size was more in benign PT as compared to FA and was highly statistically significant (p<0.01). CD10 staining was diffuse (Grade-3) and strong in malignant PT. The staining intensity was strong but patchy (Grade-2) in borderline PT. Weak and patchy (Grade-1) CD10 staining was seen in four benign PT and six FA. Other cases of benign PT and FA were negative for CD10 immunoreactivity., Conclusion: Our study showed that CD10 expression strongly correlates with the PT grade, which can help in the differentiation between benign and malignant variants of PT.