[10p-A13-1~11] 3.3 Biomedical optics

4:30 PM - 4:45 PM JST(7:30 AM - 7:45 AM UTC)

[10p-A13-10] Classification of Cardiac AL Amyloidosis Using Unsupervised Learning of Raman Spectra

〇Limin Zhao¹, Yasuo Minami¹, Shin-ichiro Yanagiya^2,3, Hiroki Takanari⁴, Hirokazu Miki⁵ (1.Indust. Technol., Nihon Univ., 2.Sci. Technol., Tokushima Univ., 3.pLED Inst., Tokushima Univ., 4.Med., Nihon Univ., 5.Tokushima Univ. Hospital)

Keywords:

Raman spectroscopy,Machine learning,Cardiac amyloidosis

Cardiac amyloidosis is a disease caused by the deposition of amyloid in the heart. Because establishing a definitive diagnosis of amyloidosis and identifying its subtype requires a significant amount of time, this currently represents a bottleneck in the timely initiation of treatment. In this study, we performed principal component analysis on the Raman shift frequency ranges of 1260 cm^-1 –1760 cm^-1 and 1400 cm^-1 –1700 cm^-1 , defined three clusters, and applied unsupervised learning.