SYSTEMATIC LITERATURE REVIEW : EARLY DETECTION OF SMARTPHONE BASED CATARACT Surianty, Atyanti Isworo
Universitas Jenderal Soedirman
Abstract
Background: Cataract is the main cause of blindness. Cataract screening is a process that is usually performed by ophthalmologists using special equipment. The problem currently faced is the limited health practitioners and adequate equipment especially in rural areas. In this literature review report, it aims to examine solutions to detect cataract problems using smartphones that can be done independently by the community, comfortably and inexpensively.
Research Methods: Conduct a literature review study of journals and articles accessed through Science direct, Google Scholar and Scopus with the inclusion criteria for year boundaries between 2015 - 2020, original and fully accessible journals, while inaccessible journals are included in the exclusion criteria. The literature search strategy uses the PICO technique. The 16 articles used are articles with experimental methods and application development.
Results: Smartphone-based early cataract detection application is effective to determine the presence of cataracts. 16 journals show that the application used can distinguish normal eyes and problematic eyes. Journal analysis results show that applications using the K-Nearest Neighbor system have the advantage of classifying between normal eyes and cataracts with an accuracy rate of 97.5%.
Conclusion: Cataract based early detection application can have many benefits besides smartphone or smartphone applications can be used by the public widely so that people can maintain eye health, gain knowledge about eye health especially about cataracts.
