Cargando…
A New Index for the Quantitative Evaluation of Surgical Invasiveness Based on Perioperative Patients’ Behavior Patterns: Machine Learning Approach Using Triaxial Acceleration
BACKGROUND: The minimally invasive nature of thoracoscopic surgery is well recognized; however, the absence of a reliable evaluation method remains challenging. We hypothesized that the postoperative recovery speed is closely linked to surgical invasiveness, where recovery signifies the patient’s be...
Autores principales: | Nakanishi, Kozo, Goto, Hidenori |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685283/ https://www.ncbi.nlm.nih.gov/pubmed/37962919 http://dx.doi.org/10.2196/50188 |
Ejemplares similares
-
Triaxial Accelerometer-Based Falls and Activities of Daily Life Detection Using Machine Learning
por: Althobaiti, Turke, et al.
Publicado: (2020) -
A case of napsin A-positive metastatic lung cancer originating from the colon
por: Ito, Tomokazu, et al.
Publicado: (2017) -
Tilted rotation of triaxial nuclei
por: Frauendorf, S, et al.
Publicado: (1996) -
Optimizing Asphalt Surface Course Compaction: Insights from Aggregate Triaxial Acceleration Responses
por: Zhang, Zhi, et al.
Publicado: (2023) -
Should Lung-Sparing Surgery Be the Standard Procedure for Malignant Pleural Mesothelioma?
por: Ichiki, Yoshinobu, et al.
Publicado: (2020)