New approaches for high-risk disease

New Approaches for Clustering High Dimensional Data

JINZE LIU: New Approaches for Clustering High Dimensional Data. (Under the direction of Wei Wang.) Clustering is one of the most effective methods for analyzing datasets that contain a large number of objects with numerous attributes. Clustering seeks to identify groups, or clusters, of similar objects. In low dimensional space, the similarity between objects is often evaluated by summing the d...

Evaluation Approaches of Value at Risk for Tehran Stock Exchange

The purpose of this study is estimation of daily Value at Risk (VaR) for total index of Tehran Stock Exchange using parametric, nonparametric and semi-parametric approaches. Conditional and unconditional coverage backtesting are used for evaluating the accuracy of calculated VaR and also to compare the performance of mentioned approaches. In most cases, based on backtesting statistics Results, ...

New therapeutical approaches for the treatment of malignant Melanoma

New Therapeutic Approaches to Conventional Surgery for Aortic Stenosis in High-Risk Patients

Multimodal approaches to high-risk prostate cancer.

Widespread use of testing for prostate-specific antigen (PSA) has led to a migration in the stage and grade of prostate cancer (PCa), with most men presenting with localized disease. However, 20%-35% of patients still present with high-risk disease (PSA > 20 ng/mL, biopsy Gleason score 8-10, or clinical stage T3). Despite advances in various treatment modalities, patients with high-risk disease...