Abstract:
Cataracts are the disease that causes most eye problems and blindness in individuals,
cataracts cause 30% of blindness in individuals aged 50 years and over. National data from
Indonesia's Ministry of Health's 2014–2016 Rapid Assessment of Avoidable Blindness
(RAAB) Blindness Survey targeting individuals aged 50 and above reveals a 3% blindness
rate, with cataracts accounting for 81% of cases. Treating 81.2% of cataract cases can
significantly reduce the prevalence of visual impairment in Indonesia. The Ministry of Health
plays an important role in implementing advanced technologies, expert systems, and targeted
interventions to improve early detection, treatment, and overall eye health of the population.
The traditional cataract examination approach causes its challenges. Such as the lack
of proper infrastructure and healthcare access in underdeveloped areas across the country.
Disease screening methods are a crucial aspect of modern healthcare. This approach
can help people, especially the elderly who are having a hard time going to the hospital and
become more aware of the eye’s health. The disease screening that we propose is a
mobile-based application that utilizes machine learning as an automation for diagnosing
cataracts
using each user's pupil’s image.
