Game-Theory Based Graded Diagnosis Strategies of Craniocerebral Injury

被引:0
作者
Liu, Yiming [1 ]
Chen, Ke [1 ]
Bian, Lanzhen [2 ]
Ren, Lei [3 ]
Hu, Jing [4 ]
Xia, Jinyue [5 ]
机构
[1] Nanjing Med Univ, Dept Neurosurg, Childrens Hosp, Nanjing 210008, Peoples R China
[2] Nanjing Med Univ, Dept Surg, Childrens Hosp, Nanjing 210008, Peoples R China
[3] Nanjing Med Univ, Dept Nursing, Childrens Hosp, Nanjing 210008, Peoples R China
[4] Nanjing Med Univ, Dept Rehabil Med, Childrens Hosp, Nanjing 210008, Peoples R China
[5] Int Business Machines Corp IBM, Armonk, NY USA
关键词
Graded diagnosis; craniocerebral injury; game theory; STORAGE MECHANISM; BLOCKCHAIN; INTERNET; MODEL;
D O I
10.32604/iasc.2021.017391
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Craniocerebral injury is a common surgical emergency in children. It has the highest mortality and disability rate, and the second highest incidence rate. Accidental injuries due to falls, sports and traffic accidents are the main causes of craniocerebral injury. In recent years, the incidence rate of craniocerebral injury in children has continued to rise, which injury stretches out the limited medical resources. Moreover, it is very difficult to deal with complex craniocerebral trauma in the hospital of county town, in which is not rich in medical resources because of the lack of experienced doctors and nurses. In addition, some children with mild craniocerebral injury go to tertiary hospitals directly, which takes up a lot of medical resources and leads to the waste of medical resources. To solve the problem, the Game Model is used to model the graded diagnosis and treatment strategies of craniocerebral injury in this paper. The results show that the diversion of some children who are identified as mild to moderate craniocerebral injury can increase the turnover of hospital beds in a tertiary hospital. Accordingly, the limited medical resources can be used to treat those children who are in critical conditions. In addition, the data also verifies the effectiveness of graded diagnosis and treatment strategies.
引用
收藏
页码:553 / 561
页数:9
相关论文
共 40 条
[11]  
[金铂 Jin Bo], 2019, [中华神经医学杂志, Chinese Journal of Neuromedicine], V18, P570
[12]   The role of advanced and late provisions in a co-evolutionary epidemic game model for assessing the social triple-dilemma aspect [J].
Kabir, K. M. Ariful ;
Tanimoto, Jun .
JOURNAL OF THEORETICAL BIOLOGY, 2020, 503
[13]   Blockchain Queuing Model with Non-Preemptive Limited-Priority [J].
Li, Tianmu ;
Ren, Yongjun ;
Xia, Jinyue .
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2020, 26 (05) :1111-1122
[14]   Cooperative evolution under the direct sum game model [J].
Li Y.-K. ;
Feng J.-E. .
Kongzhi Lilun Yu Yingyong/Control Theory and Applications, 2020, 37 (08) :1717-1726
[15]  
[刘育洛 Liu Yuluo], 2020, [中华行为医学与脑科学杂志, Chinese Journal of Behavioral Medicine and Brain Science], V29, P189
[16]  
Ma M., 2020, J QUANT ECON, V37, P130
[17]  
[穆景颂 Mu Jingsong], 2020, [中华物理医学与康复杂志, Chinese Journal of Physical Medicine and Rehabilitation], V42, P500
[18]   Traumatic Brain Injuries: Pathophysiology and Potential Therapeutic Targets [J].
Ng, Si Yun ;
Lee, Alan Yiu Wah .
FRONTIERS IN CELLULAR NEUROSCIENCE, 2019, 13
[19]   A clinical prediction model for raised intracranial pressure in patients with traumatic brain injuries [J].
Pace, Jacob ;
Parry, Neil ;
Vogt, Kelly ;
Hilsden, Rich ;
Leeper, R. Robert ;
Markova, Zarina ;
Priestap, Fran ;
Younan, Julia ;
Ball, Ian .
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2018, 85 (02) :380-386
[20]  
[彭艺 Peng Yi], 2020, [应用科学学报, Journal of Applied Sciences], V38, P871