Respiratory Cancerous Cells Detection Using TRISS Model and Association Rule Mining
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 3
Abstract
Lung cancer is a disease of uncontrolled cell growth in Epithelium of the lung, Lung cancer is one of the most common and deadly diseases in the world. Early and accurate detection of cancer is critical to the well being of patients. We analyze the lung cancer data available from the SEER program with the aim of developing accurate survival Estradiol models for lung cancer using data mining techniques. The goal here is to identify characteristics of patient segments where average survival is significantly higher/ lower than average survival across the entire dataset. Several data mining classification techniques were used on the preprocessed data along with various data mining optimizations and validations. A subset of 13 patients attributes from the SEER data were recently linked with the survival outcome using Estradiol models, which is used in this study for segmentation. The resulting rules conform to existing biomedical knowledge and provide interesting insights into lung cancer surval
Authors and Affiliations
Ayyadurai. P , , Kiruthiga. P , Valarmathi. S , Amritha.
Keywords
Related Articles
- EP ID EP93577
- DOI -
- Views 137
- Downloads 0
ASHA: AGENT BASED SECURE HOST ARP CACHE MANAGEMENT
Host systems are exchange their IP-MAC pairs to establish communication. ARP (address resolution protocol) is maintains the IP-MAC pair of address of host in the cache table when the messages are receiving and send...
Automatic Boundary Detection and Generation of Region of Interest for Focal Liver Lesion Ultrasound Image Using Texture Analysis
The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an on-going field of research, with applications ranging from the segmentation of specific anatomical...
Extensive study of image enhancement via stochastic optimization technique:MPSO
Recent literatures show how modified particle swarm had achieved its name and fame over its parental algorithm called as PSO by optimizing. In this paper we exploit its advantage over image enhancement for improvin...
Combating Sybil Attacks using SybilGuard
This paper presents a Sybil Guard, for combating against Sybil attacks without relying on a trusted central authority. Peer-to-peer and other decentralized, distributed systems are known to be particularly open to...
Intrusion Detection Based Security Solution for Cluster Based WSN
Wireless sensor network (WSN) can provide low cost solution to variety of real-world problems. Sensors are low cost tiny devices with limited storage, computational capability and power. they can be deployed in...