Functional random forest with applications in dose-response predictions
Drug sensitivity prediction for individual tumors is a significant challenge in personalized
medicine. Current modeling approaches consider prediction of a single metric of the drug …
medicine. Current modeling approaches consider prediction of a single metric of the drug …
Recursive model for dose-time responses in pharmacological studies
Background Clinical studies often track dose-response curves of subjects over time. One
can easily model the dose-response curve at each time point with Hill equation, but such a …
can easily model the dose-response curve at each time point with Hill equation, but such a …
Application of advanced machine learning based approaches in cancer precision medicine
SR Dhruba - 2021 - ttu-ir.tdl.org
Precision medicine aims to design therapies that are tailored to individual patient
characteristics-genetic and other relevant features. A big step in designing such …
characteristics-genetic and other relevant features. A big step in designing such …
Methods to Incorporate Global Information in Local Models to Offset Sample Size Constraints
RA Kesawan - 2022 - search.proquest.com
The application of local models has proven to be successful in many areas. The localmodels
allow flexible modeling of an otherwise heterogeneous population by identifyingpockets of …
allow flexible modeling of an otherwise heterogeneous population by identifyingpockets of …