Predicting the predictor's variables of survival time for oral cancer with decision tree analysis
Decision tree analysis is one of the famous analyses which assist the researcher to identify the associated factor that contributes to the certainty factor. In this study, we proposed a decision tree model with the high-risk factor and try to estimates the importance of every each predictor. The re...
Saved in:
Main Authors: | Wan Ahmad, Wan Muhamad Amir, Mohd Ibrahim, Mohamad Shafiq, Rohim, Rabiatul Adawiyah, Ali, Zalila |
---|---|
Format: | Article |
Language: | English |
Published: |
Institute of Advanced Science Extension (IASE)
2018
|
Subjects: | |
Online Access: | http://irep.iium.edu.my/72208/1/predicting%20the%20predictor%20variable.pdf http://irep.iium.edu.my/72208/ http://science-gate.com/IJAAS/Articles/2018/2018-5-11/13%202018-5-11-pp.91-94.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modeling of survival time of oral squamous cell carcinomas (OSCC) in Hospital Universiti Sains
Malaysia using multilayer feedforward neural network
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2018) -
Using decision tree and response surface methodology to review chronic periodontitis profile in Pakistan: A preliminary case study
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2018) -
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018) -
JMASM37: Simple Response Surface
Methodology Using RSREG (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016) -
Network analysis of shariah-compliant stocks on Bursa Malaysia by using minimum spanning tree (MST)
by: Mahamood, Fatin Nur Amirah, et al.
Published: (2019)