Data on Artificial Intelligence Reported by Duru Shah and Colleagues (Prevalence of non-communicable chronic diseases in rural India amongst peri- and post-meno pausal women: Can artificial intelligence help in early identification?)
Data on Artificial Intelligence Reported by Duru Shah and Colleagues (Prevalence of non-communicable chronic diseases in rural India amongst peri- and post-meno pausal women: Can artificial intelligence help in early identification?)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Mahar ashtra, India, by NewsRx correspondents, research stated, “To identify peri- and post-menopausal women at risk of non-communicable diseases in rural India and t o assess their prevalence amongst these groups via the use of artificial intelli gence. An observational study conducted by the Indian Menopause Society in colla boration with the Government of Maharashtra.”
Key words
Maharashtra/India/Asia/Artificial Intelligence/Chronic Disease/Communicable Diseases and Conditions/Disease Attributes/Emerging Technologies/Health and Medicine/Machine Learning/Menopause/Risk and Prevention/Women’s Health
NETL
NSTL