Raman spectroscopy and machine learning for biomedical applications: Alzheimer’s disease diagnosis based on the analysis of cerebrospinal fluid

• Published in: Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Vol. 248; p. 119188
• Main Authors: Ryzhikova, Elena, Ralbovsky, Nicole M., Sikirzhytski, Vitali, Kazakov, Oleksandr, Halamkova, Lenka, Quinn, Joseph, Zimmerman, Earl A., Lednev, Igor K.
• Format: Journal Article
• Language: English
• Published: England Elsevier B.V 05.03.2021
• Subjects: Alzheimer Disease - diagnosis; Alzheimer’s disease; Cerebrospinal fluid; Early Diagnosis; Humans; Machine Learning; Neural Networks, Computer; Raman spectroscopy; Spectrum Analysis, Raman; Early diagnosis; Cerebrospinal fluid; Alzheimer’s disease; Raman spectroscopy; Machine learning

[Display omitted] •Raman spectroscopy and machine learning is a universal tool for medical diagnosis.•Alzheimer’s disease is the most common form of dementia worldwide.•Raman spectroscopy is used for detecting Alzheimer’s disease in cerebrospinal fluid.•Statistical analysis improves the capability o...