Sentence examples for models using risk from inspiring English sources

These limitations associated with the use of IGT to identify high-risk individuals have lead to the development of prediction models based on multivariate logistic models using risk factors for T2DM (e.g., age, sex, BMI, fasting plasma glucose [FPG], lipid profile, and blood pressure) (10– 10).

We implemented these in the model using risk equations that were developed by the Canadian Centre for Addiction and Mental Health (CAMH) using published meta-analyses based on systematic literature reviews and were previously used for a population-based analysis.

The score is calculated by simple arithmetic (additive model) using risk factors that were found to be robust in predicting postoperative mortality, such as age, sex, emergency surgery, preoperative left ventricular dysfunction and type of surgery.

A proposed new product differentiation model using risk-influencing determinants has enabled the toy company to differentiate its new products, to deal with volatility, and to design for a responsive supply chain.

The results conclude that the GP models using Structural risk minimization (SRM) objective function accurately estimate the battery capacity based on the variations of the inputs.

Started by ex-VPs from Citibank, the founders are using risk models and technologies that banks use to help brands combat fraud and counterfeiting.

But the prospect of using risk models to identify families and individuals is not without debate.

One limitation of our study is that we compared models using one risk-adjustment system.

The odds ratios from the logistic regression models used in risk adjustment are also reported in Table 1.

For example, it can be included in prognostic models used for risk adjustment when outcomes after liver transplantation between centres are compared.

Founded by an MIT-trained city planner, ODN builds risk models using machine learning and public data records to help insurers evaluate risk and mitigate accidents.