Why is Dimensionality Reduction Important in Neonatal Disorders?
Neonatal disorders are multifaceted and can be influenced by a myriad of factors. High-dimensional data can be overwhelming and difficult to interpret. Reducing the dimensionality of this data helps in identifying the most significant variables that contribute to a disorder. This can lead to more accurate diagnoses, better understanding of the underlying mechanisms, and more effective treatment strategies.
