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sj-docx-1-dhj-10.1177_20552076231224245 - Supplemental mate..:

Hi Jeong Kwon ; Sholhui Park ; Young Hoon Park..
doi:10.25384/sage.25028583.v1. , 2024

Link: https://doi.org/10.25384/sage.25028583.v1

RT Journal
T1 <Title>sj-docx-1-dhj-10.1177_20552076231224245 - Supplemental material for Development of blood demand prediction model using artificial intelligence based on national public big data</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivoxfordfig:oai:figshare.com:article_25028583&Exemplar=1&LAN=DE
				
A1 Hi Jeong Kwon
A1 Sholhui Park
A1 Young Hoon Park
A1 Seung Min Baik
A1 Dong Jin Park
YR 2024
K1 Anthropology
K1 Sociology
K1 Science Policy
K1 Cardiology
K1 Endocrinology
K1 Geriatrics and Gerontology
K1 Nursing not elsewhere classified
K1 Oncology and Carcinogenesis not elsewhere classified
K1 Aged Health Care
K1 Health and Community Services
K1 Public Health and Health Services not elsewhere classified
K1 Engineering not elsewhere classified
K1 Information and Computing Sciences not elsewhere classified
K1 Organisation and Management Theory
K1 Social Policy
K1 Cultural Studies not elsewhere classified
K1 Transfusion
K1 big data
K1 prediction model
K1 artificial intelligence
K1 boosting model
JF doi:10.25384/sage.25028583.v1
LK http://dx.doi.org/https://doi.org/10.25384/sage.25028583.v1
DO https://doi.org/10.25384/sage.25028583.v1
SF ELIB - SuUB Bremen

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