Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes

Exploratory application of machine learning methods on patient reported data in the development of supervised models for predicting outcomes

Abstract Background Patient-reported outcome measurements (PROMs) are commonly used in clinical practice to support clinical decision making. However, few studies have investigated machine learning methods for predicting PROMs outcomes and thereby support clinical decision making. Objective This stu...

Full description

Bibliographic Details
Main Authors: Deepika Verma, Duncan Jansen, Kerstin Bach, Mannes Poel, Paul Jarle Mork, Wendy Oude Nijeweme d’Hollosy
Format: Article
Language:English
Published: BMC 2022-09-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Machine learning
Low-back pain
Neck pain
Patient-reported outcomes
Self-reported measures
Outcome Prediction
Online Access:https://doi.org/10.1186/s12911-022-01973-9

Similar Items

Similar Items