Fingernail Diagnostics: Advancing type II diabetes detection using machine learning algorithms and laser spectroscopy

• Published in: Microchemical journal Vol. 201; p. 110762
• Main Authors: Rehan, Imran, Rehan, Kamran, Sultana, Sabiha, Ur Rehman, Mujeeb
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.06.2024
• Subjects: Ensemble learning; Laser-induced breakdown spectroscopy; Machine learning; Stack learning; type-II diabetes; Stack learning; Ensemble learning; type-II diabetes; Laser-induced breakdown spectroscopy; Machine learning

[Display omitted] •Non-invasive controlled diabetes mellitus diagnostics using laser-induced breakdown spectroscopy.•Employed Q-switched Nd: YAG laser for spectral analysis of fingernail samples.•Elemental variations in diabetic versus non-diabetic fingernails.•Machine learning enhances spectral dif...