Survivability Prognosis for Lung Cancer Patients at Different Severity Stages by a Risk Factor-Based Bayesian Network Modeling-Reference-Cited by-同舟云学术

Survivability Prognosis for Lung Cancer Patients at Different Severity Stages by a Risk Factor-Based Bayesian Network Modeling

Published:2020-02-10 Issue:3 Volume:44 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Wang Kung-Jeng,Chen Jyun-Lin,Chen Kun-Huang,Wang Kung-Min

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-020-1537-5.pdf

Reference45 articles.

1. Health Promotion Administration, Ministry of Health and Welfare. (2014). 2014 health promotion administration annual report. Taipei: Health Promotion Administration, Ministry of Health and Welfare.

2. Lang, H.-C., and Wu, S.-L., Lifetime costs of the top five cancers in Taiwan. The European Journal of Health Economics 13(3):347–353, 2012.

3. Ministry of Health and Welfare. (2014, 12). National Health Insurance Annual Report. Taipei: Ministry of Health and Welfare.

4. Chang, R.-E., and Chiang, T.-L., Risk adjustment: A key to efficiency and equity in the health insurance market. Chinese Journal of Public Health 17(5):373–380, 1998.

5. Chang, R.-E., Lin, W., Hsieh, C.-J., and Chiang, T.-L., Healthcare utilization patterns and risk adjustment under Taiwan's National Health Insurance System. Journal of the Formosan Medical Associatio 101(1):52–59, 2002.

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. APDF: An active preference-based deep forest expert system for overall survival prediction in gastric cancer;Expert Systems with Applications;2024-07

2. Machine learning for administrative health records: A systematic review of techniques and applications;Artificial Intelligence in Medicine;2023-10

3. A deep learning-based cancer survival time classifier for small datasets;Computers in Biology and Medicine;2023-06

4. Analysis of Prognostic Factors of Rectal Cancer and Construction of a Prognostic Prediction Model Based on Bayesian Network;Frontiers in Public Health;2022-06-17

5. Data mining and machine learning in cancer survival research: An overview and future recommendations;Journal of Biomedical Informatics;2022-04