Contributors
Eiichiro Kanda:
ORCID: http://orcid.org/0000-0003-0676-096X
Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole:
MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: VisualizationRole:
Writing – original draft
Bogdan I. Epureanu: Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole:
MethodologyRole: Writing – review & editing
Taiji Adachi: Role: Formal analysisRole: MethodologyRole: ValidationRole: Writing – review & editing
Yuki Tsuruta: Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole:
Writing – review & editing
Kan Kikuchi: Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole:
Writing – review & editing
Naoki Kashihara: Role: Project administrationRole: SupervisionRole: ValidationRole: Writing – review
& editing
Masanori Abe:
ORCID: http://orcid.org/0000-0002-9156-5415
Role: ConceptualizationRole: InvestigationRole: SupervisionRole: ValidationRole: Writing
– review & editing
Ikuto Masakane: Role: ConceptualizationRole: Data curationRole: ValidationRole: Writing – review &
editing
Kosaku Nitta: Role: ConceptualizationRole: Data curationRole: Project administrationRole: ResourcesRole:
SupervisionRole: Writing – review & editing
Kojiro Nagai: Role: Editor
Journal
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date
(Electronic):
29
May
2020
Publication date Collection: 2020
Volume: 15
Issue: 5
Electronic Location Identifier: e0233491
Affiliations
[1
]
Medical Science, Kawasaki Medical School, Kurashiki, Okayama, Japan
[2
]
College of Engineering, University of Michigan, Ann Arbor, Michigan, United States
of America
[3
]
Institute for Frontier Life and Medical Sciences, Kyoto University, Sakyo, Kyoto,
Japan
[4
]
Tsuruta Itabashi Clinic, Itabashi, Tokyo, Japan
[5
]
Shimoochiai Clinic, Shinjuku, Tokyo, Japan
[6
]
Department of Nephrology and Hypertension, Kawasaki Medical School, Kurashiki, Okayama,
Japan
[7
]
Division of Nephrology, Hypertension and Endocrinology, Department of Internal Medicine,
Nihon University School of Medicine, Itabashi, Tokyo, Japan
[8
]
Department of Nephrology, Yabuki Hospital, Yamagata, Yamagata, Japan
[9
]
Department of Nephrology, Tokyo Women’s Medical University, Shinjuku, Tokyo, Japan
Tokushima University Graduate school, JAPAN
Author notes
Competing Interests: The authors have declared that no competing interests exist.
Author information
Article
Publisher ID:
PONE-D-20-09660
DOI: 10.1371/journal.pone.0233491
PMC ID: 7259704
PubMed ID: 32469924
SO-VID: e7efe959-7ba3-494b-b073-4993f370cb5d
Copyright © © 2020 Kanda et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
History
Date
received
: 3
April
2020
Date
accepted
: 6
May
2020
Page count
Figures: 12,
Tables: 6,
Pages: 23
Funding
Funded by: funder-id http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
Award ID: KAKENHI Grant Number JP 19K08740
Award Recipient
:
ORCID: http://orcid.org/0000-0003-0676-096X
Eiichiro Kanda
This work was supported by Japan Society for the Promotion of Science (KAKENHI Grant
Number JP 19K08740) to EK. The funder had no role in study design, data collection
and analysis, decision to publish, or preparation of the manuscript.
Categories
Subject:
Research Article
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Support Vector Machines
Subject:
Medicine and Health Sciences
Subject:
Nephrology
Subject:
Medical Dialysis
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Deep Learning
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Medicine and Health Sciences
Subject:
Cardiovascular Medicine
Subject:
Cardiovascular Diseases
Subject:
Medicine and Health Sciences
Subject:
Diagnostic Medicine
Subject:
Prognosis
Subject:
Medicine and Health Sciences
Subject:
Endocrinology
Subject:
Endocrine Disorders
Subject:
Diabetes Mellitus
Subject:
Medicine and Health Sciences
Subject:
Metabolic Disorders
Subject:
Diabetes Mellitus
Subject:
Medicine and Health Sciences
Subject:
Nephrology
Subject:
Chronic Kidney Disease
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