Cargando…
A Study of Diagnostic Accuracy Using a Chemical Sensor Array and a Machine Learning Technique to Detect Lung Cancer
Lung cancer is the leading cause of cancer death around the world, and lung cancer screening remains challenging. This study aimed to develop a breath test for the detection of lung cancer using a chemical sensor array and a machine learning technique. We conducted a prospective study to enroll lung...
Autores principales: | Huang, Chi-Hsiang, Zeng, Chian, Wang, Yi-Chia, Peng, Hsin-Yi, Lin, Chia-Sheng, Chang, Che-Jui, Yang, Hsiao-Yu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6164114/ https://www.ncbi.nlm.nih.gov/pubmed/30154385 http://dx.doi.org/10.3390/s18092845 |
Ejemplares similares
-
Breath biopsy of breast cancer using sensor array signals and machine learning analysis
por: Yang, Hsiao-Yu, et al.
Publicado: (2021) -
Chemical gas sensor array dataset
por: Fonollosa, Jordi, et al.
Publicado: (2015) -
Analysis and Optimization of Thermodiffusion of an FBG Sensor in the Gas Nitriding Process
por: Hsieh, Tso-Sheng, et al.
Publicado: (2016) -
Fiber-Optic Thermal Sensor for TiN Film Crack Monitoring
por: Hsu, Hsiang-Chang, et al.
Publicado: (2017) -
Neuro-inspired optical sensor array for high-accuracy static image recognition and dynamic trace extraction
por: Huang, Pei-Yu, et al.
Publicado: (2023)