From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.

From manual clinical criteria to machine learning algorithms: Comparing outcome endpoints derived from diverse electronic health record data modalities.

<h4>Background</h4>Progression free survival (PFS) is a critical clinical outcome endpoint during cancer management and treatment evaluation. Yet, PFS is often missing from publicly available datasets due to the current subjective, expert, and time-intensive nature of generating PFS metr...

Full description

Saved in:
Bibliographic Details
Main Authors: Shreya Chappidi, Mason J Belue, Stephanie A Harmon, Sarisha Jagasia, Ying Zhuge, Erdal Tasci, Baris Turkbey, Jatinder Singh, Kevin Camphausen, Andra V Krauze
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-05-01
Series:PLOS Digital Health
Online Access:https://doi.org/10.1371/journal.pdig.0000755
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items