… suitability of a prognostic parameter. Parameter features such as trendability, monotonicity,
and prognosability can be used to compare candidate prognostic parameters to determine …

… design a novel prediction method for medical diagnosis and prognosis capable of classifying
… Unless differently specified in the list above, all these methods were run with the parameter …

… Automated methods for identifying prognostic parameters are possible with a formalized set
of metrics to characterize their suitability. By defining a fitness function as a weighted sum of …

… parameters including ejection fraction (EF) were manually and automatically assessed using
conventional and artificial intelligence–based software. Obtained parameters … automated …

… Selection of significant features for prognostic models is of considerable importance because
external parameters such as delineation method and image reconstruction parameters …

… advances in automated machine learning … a prognostic risk score for diabetes using the UK
Biobank, a prospective study of 502,467 individuals. The models produced by our automated …

… [MVA]) as a new parameter for the measurement of vascularization by … The results were
compared with prognostic parameters of … and better patient prognosis was confirmed with TMAs. …

… automated methods can have prognostic value in a population-based study and that nonlinear
HRV indices may contribute prognostic … choose values for two input parameters, m and r, …

… parameter, selection of an appropriate parameter is key for making useful RUL estimates. …
the suitability of a given prognostic parameter. Parameter features such as trendability, …

… The random-forest prognostic model using 46 features was able to significantly stratify …
Moreover, the prognostic model we constructed showed comparable predicting accuracy as …