Prognostic models are powerful tools for treatment personalisation. However, not all proposed models work well when validated using new data, despite impressive results being reported initially. Here, we will use a hands-on approach to highlight important aspects of prognostic modelling, as well as to demonstrate methods to generate generalisable models.
from Imaging via alkiviadis.1961 on Inoreader https://ift.tt/2IUAVSR
Δευτέρα 26 Μαρτίου 2018
Why validation of prognostic models matters?
Εγγραφή σε:
Σχόλια ανάρτησης (Atom)
Δημοφιλείς αναρτήσεις
-
As demonstrated by the market reactions to downgrades of various sovereign credit ratings in 2011, the credit rating agencies occupy an impo...
-
Lichtenstein intervention is currently the classic model of the regulated treatment of inguinal hernias by direct local approach. This “tens...
-
Abstract Kenaf is a multipurpose crop, but a lack of genetic information hinders genetic and molecular research. In this study, we aimed t...
-
Spindle cell/pleomorphic lipoma is an uncommonly encountered benign neoplasm that is usually found in the subcutaneous tissues. Rare cases r...
-
ORIGINAL ARTICLES Cyclooxygenase-2 and estrogen receptor-β as possible therapeutic targets in desmoid tumors p. 47 Rasha A Khairy DOI :10....
-
Umbrella reviews: what they are and why we need them Cystic echinococcosis in unaccompanied minor refugees from Afghanistan and the Middle E...
-
Abstract In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of...
-
New magnetic resonance (MR) molecular imaging techniques offer the potential for non-invasive, simultaneous quantification of metabolic and ...
-
The parotid gland harbors 85% of all salivary gland neoplasms. Though the majority of tumors are benign, complete surgical resection remains...
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου