Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire-Reference-Cited by-同舟云学术

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Automated entry of paper-based patient-reported outcomes: Applying deep learning to the Japanese orthopaedic association back pain evaluation questionnaire

Published:2024-04 Issue: Volume:172 Page:108197
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kita Kosuke^ORCID,Fujimori Takahito^ORCID,Suzuki Yuki^ORCID,Kaito Takashi^ORCID,Takenaka Shota,Kanie Yuya^ORCID,Furuya Masayuki,Wataya Tomohiro^ORCID,Nishigaki Daiki^ORCID,Sato Junya^ORCID,Tomiyama Noriyuki,Okada Seiji,Kido Shoji

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Reference27 articles.

1. Global estimates of the need for rehabilitation based on the global burden of disease study 2019: a systematic analysis for the global burden of disease study 2019;Cieza;Lancet,2021

2. Guidance for industry: patient-reported outcome measures: use in medical product development to support labeling claims: draft guidance;Health Qual. Life Outcome,2006

3. Validation of automated forms processing;Jørgensen;Comput. Biol. Med.,1998

4. Evaluation of a computer-assisted data entry procedure (including Teleform) for large-scale mailed surveys;Jinks;Comput. Biol. Med.,2003

5. Reducing errors from the electronic transcription of data collected on paper forms: a research data case study;Wahi;J. Am. Med. Inf. Assoc.,2008

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