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.
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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.