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Open AccessArticle

Data Decision and Drug Therapy Based on Non-Small Cell Lung Cancer in a Big Data Medical System in Developing Countries

by Jia Wu 1,2,3,*, Yanlin Tan 4,*, Zhigang Chen 2,3 and Ming Zhao 2,3
1
School of Information Science and Engineering, Central South University; Changsha 410083, China
2
“Mobile Health” Ministry of Education-China Mobile Joint Laboratory, Changsha 410083, China
3
School of Software, Central South University; Changsha 410083, China
4
PET-CT Center, the Second Xiangya Hospital of Central South University, Changsha 410083, China
*
Authors to whom correspondence should be addressed.
Symmetry 2018, 10(5), 152; https://doi.org/10.3390/sym10050152
Received: 25 February 2018 / Revised: 23 April 2018 / Accepted: 9 May 2018 / Published: 10 May 2018
(This article belongs to the Special Issue Novel Machine Learning Approaches for Intelligent Big Data)
In many developing or underdeveloped countries, limited medical resources and large populations may affect the survival of mankind. The research for the medical information system and recommendation of effective treatment methods may improve diagnosis and drug therapy for patients in developing or underdeveloped countries. In this study, we built a system model for the drug therapy, relevance parameter analysis, and data decision making in non-small cell lung cancer. Based on the probability analysis and status decision, the optimized therapeutic schedule can be calculated and selected, and then effective drug therapy methods can be determined to improve relevance parameters. Statistical analysis of clinical data proves that the model of the probability analysis and decision making can provide fast and accurate clinical data. View Full-Text
Keywords: non-small cell lung cancer (NSCLC); data decision; drug therapy; relevance parameter non-small cell lung cancer (NSCLC); data decision; drug therapy; relevance parameter
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Wu, J.; Tan, Y.; Chen, Z.; Zhao, M. Data Decision and Drug Therapy Based on Non-Small Cell Lung Cancer in a Big Data Medical System in Developing Countries. Symmetry 2018, 10, 152.

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