Clustering is a technique used in data mining that groups similar objects into one cluster, while dissimilar objects are grouped into different clusters. The clustering techniques can be categorized into partitioning methods, hierarchical methods, density-based methods and grid-based methods. The different partitioning methods studied here are k-means and kmedoids. The different hierarchical techniques studied here are BIRCH and CHAMELEON. The different grid-based techniques which are described are DBSCAN and DENCLUE. Lastly, the different techniques which are used in grid-based technique, like STING and CLIQUE are described. This paper aims to provide a brief overview and comparison of these different clustering algorithms and methods.
The safety and efficacy of different anti-diabetic drugs are not clear because of the lack of sufficiently powered clinical trials. This network meta-analysis was conducted to compare the efficacy and safety of three anti-diabetic drugs (insulin, glyburide, and metformin), and rank them as per their efficiency to control glucose levels, pregnancy, and neonatal outcomes. The study design is a systematic review, meta-analysis, and network meta-analysis. After a systematic search of existing databases, 34 randomized controlled trials were selected for inclusion in the analysis. We did pairwise network meta-analysis to calculate standardized mean difference and odds ratio (OR) as the summary measures for numerical and dichotomous variables, respectively, by using random-effects model. Our key outcomes were incidence of neonatal hypoglycemia, respiratory distress syndrome, macrosomia, C-section, admission to neonatal intensive care unit (NICU) and mean differences in the birth weight of neonates, gestational age at birth, HbA1C levels, fasting blood sugar, large at gestational age, and post-prandial glucose. It was found that metformin significantly lowered the post-prandial levels of glucose as compared with both glyburide and insulin in pairwise analysis (SMD = 14.11 [23–4.8]; SMD = 22.45 [30–14]), respectively. There was a significant reduction in birth weights of babies whose mothers were administered metformin as compared with either glyburide or insulin. The proportion of neonates admission to NICU was significantly lower for metformin when compared with insulin [Log OR = 0.334 (0.0184, 0.6814))]. Large at gestational age was significantly lower for metformin as compared with both glyburide and insulin [log OR = 0.6882 (0.171, 1.329), log OR = 0.393 (0.00179, 0.8218)], respectively. Oral anti-diabetic drugs especially metformin performed better than both glyburide and insulin for all neonatal and maternal outcomes except that it significantly lowered the neonatal birth weight.
An otherwise healthy man in his 40s recently diagnosed with esophageal adenocarcinoma sustained an air embolism during the insertion of a mediport under mild sedation that was noted while using pulse fluoroscopy to ensure good visibility of adequate placement of the catheter tip. Pulse fluoroscopy allowed the early detection of a potentially catastrophic situation caused by air in the right heart and main pulmonary artery, thus allowing prompt correction of the mistake that had allowed the air embolism to occur. Pulse fluoroscopy eliminates or greatly reduces the blurred vision of highly mobile objects and enhances the view of low contrast objects thus enhancing imaging quality.
As consumers move towards social media platforms like Twitter and Facebook to air their views about a variety of products, performing sentiment analysis on their responses becomes a desirable activity that can return a wealth of information about public perception. However, information posted in such networks is designed for human consumption instead of computers, and the nuances a person can catch from them are difficult for a machine to interpret. Thus most work in this field has always concentrated on polarity detection of the opinion into three broad fields of positive, negative or neutral. In this paper we aim to look at other techniques and emotion models that would aid us in helping computers understand the emotions attached to such ambiguous statements. We compare various techniques used for sentiment analysis to that end, and propose a solution for the same.
Bevacizumab, a humanized antibody against VEGF, is effective in the treatment of patients with many cancers. However, as with many therapeutic agents, significant side effects are associated with bevacizumab, Hypertension is one of the predominant toxicity. We performed a systematic review and meta-analysis of published clinical trials of bevacizumab to quantify the risk of hypertension. 15 studies following PRISMA guidelines and matching inclusion and exclusion criteria were collected in which a group of patients were either treated with Bevacizumab and a concurrent chemotherapy and another group treated with Placebo and the same chemotherapy. Relative risk (RR) was calculated. P<0.05 was considered statistically significant. RevMan 5.3 software was used for the analysis. A total of 13,070 patients were included. Bevacizumab was associated with a significant increased risk of overall hypertension (RR=3.509; 95% C.I:2.451 to 5.023). 11 trials are included for determining the risk of Grade 3 hypertension including 8799 patients with a significant increased risk (RR=3.909; 95%C.I:1.983 to 7.707). 7 trials are included for determining the risk of hypertension at low dose (2.5 mg/kg/cycle) including 3691 patients associated with a significant increased (RR=2.640; 95%C.I: 1.408 to 4.950). 10 trials are included for determining the risk of hypertension at high dose (5 mg/kg/cycle) including 9379 patients associated with a significant (RR=4.036; 95%C.I: 2.948 to 5.525). Our meta-analysis has demonstrated that bevacizumab may be associated with a significantly increased risk of hypertension in patient with a variety of metastatic solid tumors irrespective of dosing.
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