A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy

A classification model for non-alcoholic steatohepatitis (NASH) using confocal Raman micro-spectroscopy

We combined Raman micro-spectroscopy and machine learning techniques to develop a classification model based on a well-established non-alcoholic steatohepatitis (NASH) mouse model, using spectrum pre-processing, biochemical component analysis (BCA) and logistic regression.

Bibliographic Details
Main Authors: Yu, Yang (Author), Kang, Jeon Woong (Contributor), Tam, Zhi Yang (Author), Xu, Shuo Yu (Author), Fong, Eliza Li Shan (Author), Singh, Surya Pratap (Author), Song, Ziwei (Author), Kellogg, Lisa Tucker (Author), So, Peter (Author), Yu, Hanry (Author), Yan, Jie (Author)
Other Authors: Massachusetts Institute of Technology. Department of Chemistry (Contributor), Massachusetts Institute of Technology. Laser Biomedical Research Center (Contributor)
Format: Article
Language:English
Published: SPIE, 2018-07-11T17:22:04Z.
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