Machine learning models including patient-reported outcome data in oncology: a systematic literature review and analysis of their reporting quality

Abstract Purpose To critically examine the current state of machine learning (ML) models including patient-reported outcome measure (PROM) scores in cancer research, by investigating the reporting quality of currently available studies and proposing areas of improvement for future use of ML in the f...

Full description

Saved in:
Bibliographic Details
Main Authors: Daniela Krepper (Author), Matteo Cesari (Author), Niclas J. Hubel (Author), Philipp Zelger (Author), Monika J. Sztankay (Author)
Format: Book
Published: SpringerOpen, 2024-11-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available