Neonatal jaundice is a common condition that affects newborn infants, characterized by a yellow discoloration of the skin and whites of the eyes due to a build-up of bilirubin in the bloodstream. If left untreated, it can lead to serious health complications such as brain damage.

• This research commenced with the acquisition of a neonatal dataset, comprising of both visual imagery and corresponding bilirubin measurements.
• The subsequent step involved the extraction of the region of interest (ROI) from the image, specifically the skin area.
• Since, all the other part was noise, it was darkened.
• Now, the computation of the mean RGB values of the altered image was calculated.
• Afterwards, the data was trained utilising the mean of the RGB value and bilirubin value as the primary features.
• In the testing phase, it has accuracy of almost 88%.

• Due to privacy concerns, the code and images of the neonates cannot be provided.
• For your reference, the presentation of the NeoJD has been provided.