Jaemin Son, Joo Young Shin, Seo Taek Kong, Jeonghyuk Park, Gitaek Kwon, Hoon Dong Kim, Kyu Hyung Park, Kyu-Hwan Jung, Sang Jun Park
An interpretable and interactive deep learning algorithm for a clinically applicable retinal fundus diagnosis system by modelling finding-disease relationship
Scientific reports
increased cases child abandonment homeless street children developing countries traceable proportionate rates unwanted pregnancies pregnancies impose hardships households increased social vices society nigeria baby factories continually discovered almost every state thereby raising concerns exposure women dangers unwanted pregnancies order contribute governments efforts control unwanted pregnancies nigeria study examined effects couples social characteristics family planning methods unwanted pregnancies nigeria applied ordinary least squares ols method regression analysis efficiency unbiased property statistical analysis survey data 2013 2018 nigerias demographic health surveys used analysis results indicated family planning methods used nigeria fewer unwanted pregnancies occur furthermore social characteristics men important women predicting unwanted pregnancies based findings literacy campaign northern nigeria literacy rate low counselling importance modern family planning use different strategies population health awareness campaign across different regions nigeria encouraged