Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning-Reference-Cited by-同舟云学术

Practical Training Approaches for Discordant Atopic Dermatitis Severity Datasets: Merging Methods With Soft-Label and Train-Set Pruning

Published:2023-01 Issue:1 Volume:27 Page:166-175
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Cho Soo Ick¹^ORCID,Lee Dongheon²^ORCID,Han Byeol³,Lee Ji Su¹,Hong Ji Yeon⁴^ORCID,Chung Jin Ho¹,Lee Dong Hun¹^ORCID,Na Jung-Im⁵^ORCID

Affiliation:

1. Department of Dermatology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea

2. Department of Biomedical Engineering, Chungnam National University College of Medicine, Chungnam National University Hospital, Daejeon, Republic of Korea

3. Department of Dermatology, Uijeongbu Eulji Medical Center, Eulji University School of Medicine, Uijeongbu, Republic of Korea

4. Department of Dermatology, Chungnam National University Sejong Hospital, Sejong, Republic of Korea

5. Department of Dermatology, Seoul National University Bundang Hospital, Seongnam 13620, Seoul National University College of Medicine, Seoul, Republic of Korea

Funder

Seoul National University Bundang Hospital Research Fund

AI Institute at Seoul National University

Ministry of Science and ICT and NIPA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10006388/09932872.pdf?arnumber=9932872

Reference44 articles.

1. Assessment of Intra- and Inter-Rater Reliability of Three Methods for Measuring Atopic Dermatitis Severity: EASI, Objective SCORAD, and IGA