Feasibility of deep learning to predict tinnitus patient outcomes-Reference-Cited by-同舟云学术

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Feasibility of deep learning to predict tinnitus patient outcomes

Published:2024 Issue: Volume:9 Page:100141
ISSN:2666-5212
Container-title:Intelligence-Based Medicine
language:en
Short-container-title:Intelligence-Based Medicine

Author:

Adcock Katherine S.^ORCID,Byczynski Gabriel,Meade Emma^ORCID,Leong Sook Ling,Gault Richard^ORCID,Lim Hubert,Vanneste Sven

Funder

Enterprise Ireland

Publisher

Elsevier BV

Reference41 articles.

1. Application of machine learning methods on patient reported outcome measurements for predicting outcomes: a literature review;Verma;Informatics,2021

2. Machine learning techniques for personalised medicine approaches in immune-mediated chronic inflammatory diseases: applications and challenges;Peng;Front Pharmacol,2021

3. Deep learning opens new horizons in personalized medicine;Papadakis;Biomed. Reports,2019

4. Computational models for clinical applications in personalized medicine—guidelines and recommendations for data integration and model validation;Collin;J Personalized Med,2022

5. Learning for personalized medicine: a comprehensive review from a deep learning perspective;Zhang;IEEE Rev. Biomed. Eng.,2019

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