首页|A Resilience Approach for Diagnosing and Predicting HBV-Related Diseases Based on Blood Tests
A Resilience Approach for Diagnosing and Predicting HBV-Related Diseases Based on Blood Tests
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
Chronic hepatitis B virus(HBV)infection,which threatens global public health,is a major contributor to liver-related morbidity and mortality.Examinations for liver diseases related to chronic HBV infection-including laboratory tests,ultrasounds,computed tomography(CT),and liver biopsies-may take up medical resources,particularly since they overlap in most instances.Thus,there is an urgent need to establish an economical and effective diagnosis method in order to streamline the medical process for HBV-related diseases.Using complex network models constructed based on clinical blood tests,we pro-vide such a method by defining the novel measure of functional resilience to assess patients'liver condi-tions.By combining network models and dynamics,we discovered the pivotal items and their corresponding thresholds,which can guide further research on preventing disease deterioration in crit-ical states of these diseases.The macro-averaged precision of our method,functional resilience,is 84.74％,whereas the macro-averaged precision of physicians'experience without assistance from imag-ing or biopsy is 55.63％.From an economic perspective,our approach could save the equivalent of at least 30 USD per visit for most Chinese patients and at least 400 USD per visit for most US patients,compared with general diagnostic methods.Globally,this will add to savings of at least 10.5 billion USD annually.Our method can comprehensively evaluate the condition of patients'livers and help avert the waste of medical resources during the diagnosis of liver disease by reducing excessive imaging exams.
HBV-related diseasesFunctional resilienceImprove medical resource utilizationCritical statesNetwork
Gege Hou、Yunru Chen、Xiaojing Liu、Dong Zhang、Zhimin Geng、Shubin Si
展开 >
School of Mechanical Engineering,Northwestern Polytechnical University,Xi'an 710072,China
Key Laboratory of Industrial Engineering and Intelligent Manufacturing(Ministry of Industry and Information Technology),Xi'an 710072,China
Department of Infectious Diseases,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,China
Department of Hepatobiliary Surgery,The First Affiliated Hospital of Xi'an Jiaotong University,Xi'an 710061,China
NETL
NSTL
万方数据
