The Experts below are selected from a list of 338277 Experts worldwide ranked by ideXlab platform
Xiaoxia Yin - One of the best experts on this subject based on the ideXlab platform.
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Health Information Science - Health information science
Lecture Notes in Computer Science, 2014Co-Authors: Yanchun Zhang, Guiqing Yao, Lei Wang, Neil R. Smalheiser, Xiaoxia YinAbstract:This book constitutes the refereed proceedings of the Third International Conference on Health Information Science, HIS 2014, held in Shenzhen, China, in April 2014. The 29 full papers presented were carefully reviewed and selected from 61 submissions. They cover a wide range of topics in health information sciences and systems that support the health information Management and health service delivery. They deal with medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain; data Management, data mining, and knowledge discovery, all of which play a key role in the Decision Making, Management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer-aided diagnosis; and development of new architectures and applications for health information systems.
Yanchun Zhang - One of the best experts on this subject based on the ideXlab platform.
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Health Information Science - Health information science
Lecture Notes in Computer Science, 2014Co-Authors: Yanchun Zhang, Guiqing Yao, Lei Wang, Neil R. Smalheiser, Xiaoxia YinAbstract:This book constitutes the refereed proceedings of the Third International Conference on Health Information Science, HIS 2014, held in Shenzhen, China, in April 2014. The 29 full papers presented were carefully reviewed and selected from 61 submissions. They cover a wide range of topics in health information sciences and systems that support the health information Management and health service delivery. They deal with medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain; data Management, data mining, and knowledge discovery, all of which play a key role in the Decision Making, Management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer-aided diagnosis; and development of new architectures and applications for health information systems.
Michael Fatouros - One of the best experts on this subject based on the ideXlab platform.
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Prophylactic surgery in the complex Decision-Making Management of BRCA mutation carriers.
Annals of surgical oncology, 2008Co-Authors: Evangelos Briasoulis, Dimosthenis Ziogas, Michael FatourosAbstract:To the Editor: In a recent issue of the journal, Heemskerk-Gerritsen et al. provided clinical useful data supporting the efficacy of genetic testing and prophylactic mastectomy (PM) in unaffected and affected breast cancer carriers who had mutations in BRCA1 and BRCA2. No breast cancer occurred among 358 BRCA carriers (unaffected women, n = 177; affected, n = 181) after PM in a median follow-up of 4.5 years. However, is it PM the optimum preventive intervention, just as data on other preventive options, including prophylactic salpingo-oophorectomy chemoprevention and intensified surveillance, have become available? Given the lack of randomized trials, it is not surprising that the Management of BRCA1/2 mutation carriers is debated. In contrast to another recent study and data from many other reports, a new study published recently reported no difference in survival between BRCA and non-BRCA mutation carriers. If this finding is true, neither genetic testing at diagnosis of a new breast cancer or after completion of treatment, nor prophylactic interventions are required. However, this study has been criticized for possible biases and methodology errors. Live-saving preventive interventions are required for BRCAmutation carriers because these women are at high risk of breast and ovarian cancer. However, there is no standard approach. Decision-Making Management of these women is complex. Prophylactic salpingo-oophorectomy seems to be better than PM or chemoprevention and surveillance, but high-quality measurable comparative data on the safety and efficacy of all these options and their effect on both survival and quality of life are not available yet. Another challenge is how to deal with women who have a family history of breast cancer but who test negative for a BRCA mutation. To address these challenges a comprehensive Decision-Making algorithm for individualizing Management of these women was developed at the Ioannina University. Testing for CDH1 mutations in women with BRCA-negative test result who have a family history of both breast cancer and gastric cancer as well as for the CHEK2 mutation facilitates DecisionMaking prevention strategies for these non-BRCA mutation carriers. Women with CDH1 mutations have a 40% lifetime risk of breast cancer, but they face a much higher risk gastric cancer (70%). The first priority for CDH1 carriers is the prevention of gastric cancer. A riskreducing prophylactic total gastrectomy is now increasingly accepted. Given the overall poor survival of gastric cancer, with exceptionally high cure rates for early-stage stomach tumors, despite adequate D2 lymphadenectomy, D1 gastrectomy plus chemoradiation, or perioperative adjuvant systemic treatment, prevention strategy seems to be the most rational way to reduce the incidence of and mortality from gastric cancer. The feasibility and assessment of genetic testing for women with breast cancer and increased familial risk before definitive therapy have begun to influence the Published online January 15, 2008. Address correspondence and reprint requests to: Dimosthenis Ziogas, MD; E-mail: deziogas@hotmail.com
Jinyu Cai - One of the best experts on this subject based on the ideXlab platform.
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Early warning Decision-Making system based on cloud computing technology for retail supply chain unconventional emergency
2017 2nd IEEE International Conference on Cloud Computing and Big Data Analysis ICCCBDA 2017, 2017Co-Authors: Hong Xue, Yi Yuan, Yiliang Lin, Jinyu CaiAbstract:-For the deep uncertainty and large data characteristics of the retail supply chain unconventional emergency, the architecture and design issues of early warning Decision-Making Management system for retail supply chain unconventional emergency were researched based on MAS and cloud computing technology. According to the design principles of early warning Decision-Making Management system, the business intelligence system framework of early warning Decision-Making for retail supply chain unconventional emergency was created based on cloud computing technology. For the complex adaptation of early warning Decision-Making Management system, the MAS organizational structure of early warning Decision-Making Management system for retail supply chain unconventional emergency was constructed based on the modeling method of multi-agent complex system. In the cloud computing environment, the network topology and data warehouse system architecture were established to realize the acquisition and sharing mechanism of the scene big data in the early warning Decision-Making Management system for retail supply chain unconventional emergency. The results of empirical experiment show that the system can improve the intelligence and accuracy of the early warning Decision-Making for retail supply chain unconventional emergencies.
Guiqing Yao - One of the best experts on this subject based on the ideXlab platform.
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Health Information Science - Health information science
Lecture Notes in Computer Science, 2014Co-Authors: Yanchun Zhang, Guiqing Yao, Lei Wang, Neil R. Smalheiser, Xiaoxia YinAbstract:This book constitutes the refereed proceedings of the Third International Conference on Health Information Science, HIS 2014, held in Shenzhen, China, in April 2014. The 29 full papers presented were carefully reviewed and selected from 61 submissions. They cover a wide range of topics in health information sciences and systems that support the health information Management and health service delivery. They deal with medical/health/biomedicine information resources, such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyse, and optimize the use of information in the health domain; data Management, data mining, and knowledge discovery, all of which play a key role in the Decision Making, Management of public health, examination of standards, privacy and security issues; computer visualization and artificial intelligence for computer-aided diagnosis; and development of new architectures and applications for health information systems.
