Characterization of Non-Monotonic Relationships between Tumor Mutational Burden and Clinical Outcomes.

Published in: Cancer research communications (2024)

When a non-monotonic relationship to survival is present it is not possible to divide patients by a single value of a predictor. Neural networks allow for complex transformations and can be used to correctly split patients when a non-monotonic relationship is present.

Keyphrases

end stage renal disease
ejection fraction
newly diagnosed
chronic kidney disease
peritoneal dialysis
prognostic factors
neural network