Relative Importance of Cytomegalovirus Load as a Risk Factor for Cytomegalovirus Disease in the Immunocompromised Host

1997 ◽  
pp. 288-301 ◽  
Author(s):  
V.C. Emery
Keyword(s):  
Risk Factor ◽  
Immunocompromised Host ◽  
Relative Importance ◽  
Cytomegalovirus Disease

scholarly journals Deng Entropy Weighted Risk Priority Number Model for Failure Mode and Effects Analysis

Entropy ◽  
2020 ◽  
Vol 22 (3) ◽  
pp. 280 ◽  
Author(s):  
Haixia Zheng ◽  
Yongchuan Tang
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Failure Mode ◽  
Evidence Theory ◽  
Relative Weight ◽  
Relative Importance ◽  
Risk Priority Number ◽  
Domain Experts ◽  
Entropy Weighted ◽  
Deng Entropy

Failure mode and effects analysis (FMEA), as a commonly used risk management method, has been extensively applied to the engineering domain. A vital parameter in FMEA is the risk priority number (RPN), which is the product of occurrence (O), severity (S), and detection (D) of a failure mode. To deal with the uncertainty in the assessments given by domain experts, a novel Deng entropy weighted risk priority number (DEWRPN) for FMEA is proposed in the framework of Dempster–Shafer evidence theory (DST). DEWRPN takes into consideration the relative importance in both risk factors and FMEA experts. The uncertain degree of objective assessments coming from experts are measured by the Deng entropy. An expert’s weight is comprised of the three risk factors’ weights obtained independently from expert’s assessments. In DEWRPN, the strategy of assigning weight for each expert is flexible and compatible to the real decision-making situation. The entropy-based relative weight symbolizes the relative importance. In detail, the higher the uncertain degree of a risk factor from an expert is, the lower the weight of the corresponding risk factor will be and vice versa. We utilize Deng entropy to construct the exponential weight of each risk factor as well as an expert’s relative importance on an FMEA item in a state-of-the-art way. A case study is adopted to verify the practicability and effectiveness of the proposed model.

OKT3 Treatment for Allograft Rejection Is a Risk Factor for Cytomegalovirus Disease in Liver Transplantation

1995 ◽  
Vol 171 (4) ◽  
pp. 1014-1018 ◽  
Author(s):  
D. Portela ◽  
R. Patel ◽  
J. J. Larson-Keller ◽  
D. M. Ilstrup ◽  
R. H. Wiesner ◽  
...  
Keyword(s):  
Liver Transplantation ◽  
Risk Factor ◽  
Allograft Rejection ◽  
Cytomegalovirus Disease

Treatment with corticosteroids— a risk factor for the development of clinical cytomegalovirus disease in AIDS

AIDS ◽  
1993 ◽  
Vol 7 (3) ◽  
pp. 375-378 ◽  
Author(s):  
Mark R. Nelson ◽  
David Erskine ◽  
David A. Hawkins ◽  
Brian G. Gazzard
Keyword(s):  
Risk Factor ◽  
Cytomegalovirus Disease

scholarly journals 73 Ascaridiasis as a risk factor for anemia in a special immunocompromised host: The pregnant women

2006 ◽  
Vol 10 ◽  
pp. S41
Author(s):  
A.J. Rodriguez-Morales ◽  
R.A. Barbella ◽  
C. Case ◽  
M. Arria ◽  
M. Ravelo
Keyword(s):  
Risk Factor ◽  
Pregnant Women ◽  
Immunocompromised Host

The integrated PFMEA approach with interval type-2 fuzzy sets and FBWM: A case study in the automotive industry

2021 ◽  
pp. 095440702110347
Author(s):  
Nikola Komatina ◽  
Danijela Tadić ◽  
Aleksandar Aleksić ◽  
Nikola Banduka
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Automotive Industry ◽  
Real Life ◽  
Relative Importance ◽  
Effect Analysis ◽  
Stable Conditions ◽  
Interval Type

The change of market’s demand could be predictable to a certain degree at stable conditions but it may vary due to disruptive events. This research contributes by establishing the improvement of PFMEA (Process Failure Mode and Effect Analysis) analysis in the domain of assessment and determining severity risk factor, as well as identifying of failure priority. According to the researchers’ and practitioners’ suggestions, severity needs to be considered from the multiple aspects. The risk factor severity is considered from the aspects of product importance, quality, and cost. These aspects have different relative importance, which is determined in an exact way. The relative importance of the aspects, as well as the values of the risk factors, was described by linguistic expressions that are modeled by using the Interval type-2 trapezoidal fuzzy numbers (IT2TrFNs). IT2FBWM was used to determine weight vectors of risk factors. The priority of failures is determined according to the Action priority model which proposed by AIAG & VDA (Automotive Industry Action Group and German Association of the Automotive Industry). The proposed methodology is tested in a Case study where the real-life data originated from a company from the Republic of Serbia that operates as a part of an automotive supply chain.

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