MEDICAL DATA

Hi!

I am trying to build a predictive model. For that I am dealing with patient’s voice. I am introducing in the dataset 2500 features (columns) for each patient. These 2500 columns correspond to the amplitude of frecuency of a vowel. So the first column correspond to the amplitude of 0.5 Hz, the second amplitude to 1 Hz, the third to 1.5 Hz and so on. So it corresponds to values succesive in frecuency.

Is there any way that I can analyse this data properly? Is there any predictive model more appropiate to this type of data?