Utilizing a Two-Stage Taguchi Method and Artificial Neural Network for the Precise Forecasting of Cardiovascular Disease Risk

The complexity of cardiovascular disease onset emphasizes the vital role of early detection in prevention. This study aims to enhance disease prediction accuracy using personal devices, aligning with point-of-care testing (POCT) objectives. This study introduces a two-stage Taguchi optimization (TST...

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Detalles Bibliográficos
Autores principales: Lin, Chia-Ming, Lin, Yu-Shiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669281/
https://www.ncbi.nlm.nih.gov/pubmed/38002410
http://dx.doi.org/10.3390/bioengineering10111286

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669281/
https://www.ncbi.nlm.nih.gov/pubmed/38002410
http://dx.doi.org/10.3390/bioengineering10111286

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