Near-infrared spectra from hand skin, classified by a support vector machine, point to 1270 nm as the most informative wavelength for systemic sclerosis, yet the result rests on unverified synthetic data and weak statistics.
Epidemiology and natural history of systemic sclerosis
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Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis
Near-infrared spectra from hand skin, classified by a support vector machine, point to 1270 nm as the most informative wavelength for systemic sclerosis, yet the result rests on unverified synthetic data and weak statistics.