Generalized additive models for medical research

Citations in the corpus

Neural Additive Models: Interpretable Machine Learning with Neural Nets (2020, neutral): “, ecology [12], medicine [13], astronomy [15] etc.”
Relations of serum phosphorus and calcium levels to the incidence of cardiovascular disease in the community. (2007, unknown): “To gain additional insights into the linearity of relations between serum phosphorus levels and incident CVD, we estimated generalized additive Cox models using penalized splines (covariates as in multivariable model 2).(26) These models are useful for assessing the dose-response relations of serum ”
SurvNAM: The machine learning survival model explanation (2021, unknown): “As a result, we get an extension of the Cox model with the function The combination of GAM and the Cox model was studied by several authors [81, 12, 82].”
Prognostic Modeling with Logistic Regression Analysis (2001, unknown): “interactions, it may be considered a special case of a generalized nonlinear model, such as a neural network.(10,11) When the predictive performance of a neural network model is compared to that of a logistic regression model, a sensible strategy should have been followed in the development of both.”