Development of Machine Learning-Based Web System for Estimating Pleural Effusion Using Multi-Frequency Bioelectrical Impedance Analyses

Background: Transthoracic impedance values have not been widely used to measure extravascular pulmonary water content due to accuracy and complexity concerns. Our aim was to develop a foundational model for a novel system aiming to non-invasively estimate the intrathoracic condition of heart failure...

Descripción completa

Detalles Bibliográficos
Autores principales: Nose, Daisuke, Matsui, Tomokazu, Otsuka, Takuya, Matsuda, Yuki, Arimura, Tadaaki, Yasumoto, Keiichi, Sugimoto, Masahiro, Miura, Shin-Ichiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380905/
https://www.ncbi.nlm.nih.gov/pubmed/37504547
http://dx.doi.org/10.3390/jcdd10070291

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380905/
https://www.ncbi.nlm.nih.gov/pubmed/37504547
http://dx.doi.org/10.3390/jcdd10070291

Ejemplares similares