Development of Various Diabetes Prediction Models Using Machine Learning Techniques

BACKGROUND: There are many models for predicting diabetes mellitus (DM), but their clinical implication remains vague. Therefore, we aimed to create various DM prediction models using easily accessible health screening test parameters. METHODS: Two sets of variables were used to develop eight DM pre...

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Detalles Bibliográficos
Autores principales: Shin, Juyoung, Kim, Jaewon, Lee, Chanjung, Yoon, Joon Young, Kim, Seyeon, Song, Seungjae, Kim, Hun-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Diabetes Association 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353566/
https://www.ncbi.nlm.nih.gov/pubmed/35272434
http://dx.doi.org/10.4093/dmj.2021.0115

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9353566/
https://www.ncbi.nlm.nih.gov/pubmed/35272434
http://dx.doi.org/10.4093/dmj.2021.0115

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