Ontology highlight
ABSTRACT:
SUBMITTER: Berchialla P
PROVIDER: S-EPMC8904517 | biostudies-literature | 2022 Mar
REPOSITORIES: biostudies-literature
Berchialla Paola P Lanera Corrado C Sciannameo Veronica V Gregori Dario D Baldi Ileana I
Scientific reports 20220308 1
A central problem in most data-driven personalized medicine scenarios is the estimation of heterogeneous treatment effects to stratify individuals into subpopulations that differ in their susceptibility to a particular disease or response to a specific treatment. In this work, with an illustrative example on type 2 diabetes we showed how the increasing ability to access and analyzed open data from randomized clinical trials (RCTs) allows to build Machine Learning applications in a framework of p ...[more]