Journal: Micromachines
Article Title: A Review of Machine Learning Methods Recently Applied to FTIR Spectroscopy Data for the Analysis of Human Blood Cells
doi: 10.3390/mi14061145
Figure Lengend Snippet: Summary of the eligible publications.
Article Snippet: O.K. Gasymov, 2022 [ ] , Lung carcinoma , Comparison study , 81 samples , Metabo Analyst 4.0 software , Scanning range from 4000 to 400 cm −1 with 512 scans and at a 4 cm −1 spectral resolution (main groups identified around 800 cm −1 , 1100 cm −1 , 1400 cm −1 , and 3050 cm −1 ). Analysis parameter: area of the normalized spectra (bio-fingerprint and lipid) regions , Multivariate statistics with feature extraction and ML were successfully applied to cancer classification based on the FTIR spectra of blood plasma samples , Required a widespread screening method for the identification of individuals at high risk.
Techniques: Software, Spectroscopy, Diagnostic Assay, Infection, IR Spectroscopy, Raman Spectroscopy, In Situ, Centrifugation, Activation Assay, Standard Deviation, Conjugation Assay