Emre Altıntaş, Ali Şahin, Huseyn Babayev, Murat Gül, Ali Furkan Batur, Mehmet Kaynar, Özcan Kılıç, Serdar Göktaş
Machine learning algorithm predicts urethral stricture following transurethral prostate resection
World journal of urology
paper reports new methodology objectively study world children live primary research study kidscam food marketing illustrates method numerous ancillary studies include exploration childrens exposure alcohol smoking blue space gambling use green space transport sun protection one hundred sixtyeight randomly selected children aged 1113 years recruited 16 randomly selected schools wellington new zealand used wearable cameras gps units 4 days recording imagery every 7 seconds longitudelatitude locations every 5 seconds data collected july 2014 june 2015 analysis commenced 2015 ongoing bespoke software used manually code images variables interest including setting marketing media product category produce variables statistical analysis gps data extracted cleaned arcgis version 103 exposure spatial analysis approximately 14 million images 22 million gps coordinates generated usable many settings including difficult measure aspects exposures home school leisure time method ethical legal acceptable children wider community methodology enabled objective analysis world children live main arm examined frequency nature childrens exposure food beverage marketing provided data difficult measure settings methodology likely generate robust evidence facilitating effective policymaking address numerous public health concerns