"prognosis model" is a correct and usable phrase in written English.
You can use it to refer to a system or method used to predict future outcomes. For example, "The doctor used a prognosis model to predict the likelihood of the patient's recovery."
The article describes the updated prognosis model and validation results.
The authors validated the prognosis model based on the original reference projects.
Moreover, a recursive algorithm for online updating the parameters of the failure prognosis model is developed.
In this work, a 3D failure prognosis model is developed for interface initiated failures of monolithic ceramic crowns.
A case study is examined to demonstrate the ability and potential applications of the newly proposed failure prognosis model.
Equipped with the recursive algorithm, the proposed prognosis model can predict the failure in real-time when two failure modes are dependent and competitive.
Because Hb level is frequently measured during cancer treatment, Hb changes may be a potentially important variable in building cancer prognosis models.
Using a large number of predictor variables cannot guarantee the performance of prognosis models if these variables are correlated with one another [ 30, 31].
To evaluate the performance of the proposed prognosis models, a full data set is divided into two sets: training and testing sets.
Although several biomarkers have been introduced to the prognosis models for gastric cancer recently [ 30, 31], conventional predictive models majorly rely on TNM stage, which has limited ability to discriminate a stratum of patients for the heterogeneity of this disease.
In a series of studies [ 22, 23], Shen et al. developed prognosis models for predicting the HRQOL of cardiac patients following rehabilitation and they come to the conclusion that hostility affects HRQOL directly and indirectly through depression.
