Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

Predicting decompression surgery by applying multimodal deep learning to patients’ structured and unstructured health data

Abstract Background Low back pain (LBP) is a common condition made up of a variety of anatomic and clinical subtypes. Lumbar disc herniation (LDH) and lumbar spinal stenosis (LSS) are two subtypes highly associated with LBP. Patients with LDH/LSS are often started with non-surgical treatments and if...

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Bibliographic Details
Main Authors: Chethan Jujjavarapu, Pradeep Suri, Vikas Pejaver, Janna Friedly, Laura S. Gold, Eric Meier, Trevor Cohen, Sean D. Mooney, Patrick J. Heagerty, Jeffrey G. Jarvik
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Lower back pain
Lumbar spinal stenosis
Lumbar disc herniation
Deep learning
Generalizability
Multimodal
Online Access:https://doi.org/10.1186/s12911-022-02096-x

Internet

https://doi.org/10.1186/s12911-022-02096-x

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