A5063713331- Neonatal and Maternal Infections
- Sepsis Diagnosis and Treatment
- Neonatal and fetal brain pathology
- Cervical Cancer and HPV Research
- Reproductive tract infections research
- Non-Invasive Vital Sign Monitoring
- Adolescent Sexual and Reproductive Health
Mbarara University of Science and Technology
2022-2023
Africa University
2022
Abstract BackgroundNeonatal sepsis is a significant cause of neonatal death and has been major challenge worldwide. The difficulty in early diagnosis leads to delay treatment. predicted improve outcomes. use machine learning techniques with the relevant screening parameters provides new ways understanding having possible solutions tackle challenges it presents. This work proposes an algorithm for predicting using electronic medical record (EMR) data from Mbarara Regional Referral Hospital...
Abstract Background Chlamydia is one of the most common sexually transmitted diseases in world with severe complications. This study aimed to determine prevalence trachomatis infection serum samples individuals Akpakpa, Cotonou. Study design: A cross-sectional study, using serological testing perform analysis The sample used was whole blood. survey carried out a questionnaire. Method random about 11 adults aged 15–30 years taken. separated sera were subjected anti-Chlamydia (IgG) and (IgA)...
Abstract Background Neonatal sepsis is a significant cause of neonatal death and has been major challenge worldwide. The difficulty in early diagnosis leads to delay treatment. predicted improve outcomes. use machine learning techniques with the relevant screening parameters provides new ways understanding having possible solutions tackle challenges it presents. This work proposes an algorithm for predicting using electronic medical record (EMR) data from Mbarara Regional Referral Hospital...
Abstract BackgroundNeonatal sepsis is a significant cause of neonatal death and has been major challenge worldwide. The difficulty in early diagnosis leads to delay treatment. predicted improve outcomes. use machine learning techniques with the relevant screening parameters provides new ways understanding having possible solutions tackle challenges it presents. This work proposes an algorithm for predicting using electronic medical record (EMR) data from Mbarara Regional Referral Hospital...