Prediction of Neurologic Morbidity and its Determinants in ELBW Infants & 1197

Intro: Poor neurologic outcome in extremely low birth weight(ELBW; <1000g) infants is common and its determinants have been difficult to identify. Neural networks are nonparametric pattern recognition techniques useful in detecting complex non-linear relationships.

Aim: To identify the major determinants of major handicap (Any of: Cerebral Palsy /Blindness /Deafness /Mental Retardation /Hydrocephalus / severe Failure To Thrive) and low Bayley Scores (Corrected MDI and PDI) at 18 months of age using regression techniques and neural networks.

Log in or create a free account to read this content

Gain free access to this article, as well as selected content from this journal and more on nature.com

Access through your institution

or

Sign in or create an account

Continue with Google

Continue with ORCiD