Response to Outlier Status

Outlier Analysis Outlier Analysis

Functional Safety Status in Isfahan Private Hospitals in Response to Disasters in 2015

Background: Hospital safety is of great social importance in various aspects, including functional safety. If hospitals fail to response appropriately to a disaster or protect people against the risks resulting from natural and man-made disasters, people feel insecure and society loses the stability. The present article aims to evaluate the functional safety status of hospitals in disasters. M...

FP-outlier: Frequent pattern based outlier detection

An outlier in a dataset is an observation or a point that is considerably dissimilar to or inconsistent with the remainder of the data. Detection of such outliers is important for many applications and has recently attracted much attention in the data mining research community. In this paper, we present a new method to detect outliers by discovering frequent patterns (or frequent itemsets) from...

Synthetic lethality in ATM-deficient RAD50-mutant tumors underlies outlier response to cancer therapy.

UNLABELLED Metastatic solid tumors are almost invariably fatal. Patients with disseminated small-cell cancers have a particularly unfavorable prognosis, with most succumbing to their disease within two years. Here, we report on the genetic and functional analysis of an outlier curative response of a patient with metastatic small-cell cancer to combined checkpoint kinase 1 (CHK1) inhibition and ...

Outlier Detection Adaptive to Users’ Intentions

Graduate School of Systems and Information Engineering, University of Tsukuba Institute of Information Sciences and Electronics, University of Tsukuba School of Computer Science, Carnegie Mellon University Abstract Outlier detection has many applications like fraud detection, medical analysis, etc. Recently, several methods for finding outliers in large datasets have been reported. These existi...