Predicting impaired glucose metabolism in women with polycystic ovary syndrome 
by decision tree modelling

Moehlig, M.; Floter, A.; Spranger, J.; Weickert, M. O.; Schill, T.; Schlosser, H. W.; Brabant, G.; Pfeiffer, A. F. H.; Selbig, J.; Schofl, C.

doi:10.1007/s00125-006-0395-0

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Predicting impaired glucose metabolism in women with polycystic ovary syndrome by decision tree modelling

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Selbig, J.
BioinformaticsCRG, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Moehlig, M., Floter, A., Spranger, J., Weickert, M. O., Schill, T., Schlosser, H. W., et al. (2006). Predicting impaired glucose metabolism in women with polycystic ovary syndrome by decision tree modelling. Diabetologia, 49(11), 2572-2579. doi:10.1007/s00125-006-0395-0.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-2A01-8