
Deploying machine learning to find out the reasons for not using condom in a questionnaire-based study of 120 patients
Author(s) -
Balaji Govindan,
Karunakaran Maduravasagam
Publication year - 2018
Publication title -
indian journal of sexually transmitted diseases and aids
Language(s) - English
Resource type - Journals
eISSN - 2589-0565
pISSN - 2589-0557
DOI - 10.4103/ijstd.ijstd_64_17
Subject(s) - medicine , condom , family medicine , medical education , machine learning , artificial intelligence , human immunodeficiency virus (hiv) , computer science , syphilis
Even though condom offers more than 90% protection against human immunodeficiency viral infections (human immunodeficiency virus) and few sexually transmitted infections (STIs), the overall use of condom in India is low. Many studies revealed that the significant barriers for not using condom were lack of privacy in stores, cultural differences, etc.