Affiliation:
1. Jaypee Institute of Information Technology, India
Abstract
Technology has broadened the perspective healthcare delivery. Computer vision is such an enhanced spectrum of scientific revolution that imparts automated intelligence to assist patients with full or partial vision difficulties. This discipline engages machine acumen with learning and mining techniques to substitute impairment with clarity in vision. This helps people suffering from visionary ailments to see the world and experience its elegance through machine intelligence. The chapter surveys the recent and smartly configured technologies for building models and related applications, which could be useful for managing health problems in case of visually challenged ones. Several intelligent systems are analyzed and highlighted that can be utilized for providing sub-optimal cure to the concerned patients who mostly confront problems in plight of accessing relevant information, thereby receiving severely limited healthcare facilities. The chapter also illustrates several methods and mechanisms that can be applied to tailor treatment strategies as per the criticality and need towards customized clinical care for vision impairment.
Reference50 articles.
1. Mobile-embedded smart guide for the blind.;International Conference on Digital Information and Communication Technology and Its Applications,2011
2. Understanding the Physical Safety, Security, and Privacy Concerns of People with Visual Impairments
3. Bhardwaj, R., Nambiar, A. R., & Dutta, D. (2017, July). A Study of Machine Learning in Healthcare. In Computer Software and Applications Conference (COMPSAC), 2017 IEEE 41st Annual (Vol. 2, pp. 236-241). IEEE.
4. A unified methodology for the evaluation of accessibility and usability of mobile applications
5. Knowledge acquisition in the fuzzy knowledge representation framework of a medical consultation system