A diagnosis model for survivability and medical expenditure of lung cancer patient by Conditional Gaussian Bayesian networks
碩士 === 國立臺灣科技大學 === 工業管理系 === 106 === In Taiwan, the statistics of the Ministry of Health and Welfare indicated lung cancer is the leading cause of cancer. About 10,000 new cases of lung cancer each year, which caused more than 7,000 people dead in 2016. In addition, lung cancer usually accompanied...
Main Authors: | Wan-Ping Chen, 陳婉平 |
---|---|
Other Authors: | Kung-Jeng Wang |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/sqn4ey |
Similar Items
-
Predicting medical expenditure and survivability of the lung cancer patient by Bayesian network
by: Chia-Ping Chen, et al.
Published: (2016) -
Predicting Survivability and Medical Expenditure of Lung Cancer Patients Using Dynamic Bayesian Network
by: Muniroh, et al.
Published: (2019) -
Predicting Medical Expenditure and Survivability of the Comorbidities Patients before Diagnosed with Lung Cancer by Bayesian Network
by: Ting-Yang Su, et al.
Published: (2017) -
Cost and Survival Prognosis Model for Lung Cancer Patients: A Continuous Gaussian Bayesian Network Approach
by: Jyun-Lin Chen, et al.
Published: (2015) -
Implicit parameter estimation for conditional Gaussian Bayesian networks
by: Aida Jarraya, et al.
Published: (2014-01-01)