The multikinetic fusion feature of PPG was combined with MCNN_vision_transformer for diabetes detection

This study is a retrospective case-control study that collected clinical data from three groups of people: those with normal glucose levels, those with poorly controlled diabetes, and those with well-controlled diabetes. The study aims to utilize deep learning algorithms for the early prevention and screening of diabetes.

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Institutions

Publication Details

Journal
American Journal of Translational Research
Published
2025-01-01
DOI
https://doi.org/10.62347/zrmw1346
Citations
1
Primary Topic
Advanced Computing and Algorithms
Type
article
Field-Weighted Citation Impact
6.18

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article

The multikinetic fusion feature of PPG was combined with MCNN_vision_transformer for diabetes detection

Mingxia Xiao
1 citations
American Journal of Translational Research
Advanced Computing and Algorithms
6.18
article

The multikinetic fusion feature of PPG was combined with MCNN_vision_transformer for diabetes detection

Mingxia Xiao
article en
1 citations

Abstract

This study is a retrospective case-control study that collected clinical data from three groups of people: those with normal glucose levels, those with poorly controlled diabetes, and those with well-controlled diabetes. The study aims to utilize deep learning algorithms for the early prevention and screening of diabetes.

American Journal of Translational ResearchVol. 17(5)
North Minzu University (CN)
National Science Foundation, National Natural Science Foundation of China, North Minzu University
Openalex Percentile: Top 5%
Advanced Computing and Algorithms
6.18
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