Madhumitha Kedhari Sundaram¹, Abdulmajeed G. Almutary², Shafiul Haque³, Faheem SM¹, Arif Hussain^1,*

Oncologie, Vol.23, No.2, pp. 269-277, 2021, DOI:10.32604/Oncologie.2021.016002

Abstract Cervical cancer is the neoplasm of the uterine cervix in women, which is highly preventable. With the advent of vaccination against HPV infection, a gradual decline in the incidence of cervical cancer cases has been observed in developing countries. The developing nations bear the brunt of cervical cancer incidence due to low acceptance of vaccination. This survey-based study was designed to assess the awareness and opinions of female university students regarding human papilloma virus, vaccination and cervical cancer. A survey questionnaire was distributed among female expatriate students (18 to 26 years of age) of a private university. The survey sought… More >

Sadaf Qazi¹, Muhammad Usman¹, Azhar Mahmood¹, Aaqif Afzaal Abbasi², Muhammad Attique³, Yunyoung Nam^4,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 589-602, 2021, DOI:10.32604/cmc.2020.012507

Abstract Immunization is a noteworthy and proven tool for eliminating lifethreating infectious diseases, child mortality and morbidity. Expanded Program on Immunization (EPI) is a nation-wide program in Pakistan to implement immunization activities, however the coverage is quite low despite the accessibility of free vaccination. This study proposes a defaulter prediction model for accurate identification of defaulters. Our proposed framework classifies defaulters at five different stages: defaulter, partially high, partially medium, partially low, and unvaccinated to reinforce targeted interventions by accurately predicting children at high risk of defaulting from the immunization schedule. Different machine learning algorithms are applied on Pakistan Demographic and… More >