Selecting cases for whom additional tests can improve prognostication.

TitleSelecting cases for whom additional tests can improve prognostication.
Publication TypeConference Proceedings
Year of Publication2012
AuthorsJiang, X, Kim, J, Wu, Y, Wang, S, Ohno-Machado, L
Conference NameAMIA Annu Symp Proc
Volume2012
Pagination1260-8
Date Published2012
ISBN1942-597X
iDASH CategoryPatient Centered Research
AbstractPrognostic models are increasingly being used in clinical practice. The benefit of adding variables (e.g., gene expression measurements) to an original set of variables (e.g., phenotypes) when building prognostic models is usually measured on a whole set of cases. In practice, however, including additional information only helps build better models for some subsets of cases. It is important to prioritize who should undergo further testing. We present a method that can help identify those patients might benefit from additional testing. Our experiments based on limited breast cancer data indicate that relatively old patients with large tumors and positive lymph nodes constitute a group for whom prognoses can be more accurate with the addition of gene expression measurements. The same is not true for some other groups.
PubMed ID23304404