- Tytuł:
- Predicting the drop out from the maternal, newborn and child healthcare continuum in three East African Community countries: application of machine learning models.
- Autorzy:
- Źródło:
- BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2023 Sep 25; Vol. 23 (1), pp. 191. Date of Electronic Publication: 2023 Sep 25.
- Typ publikacji:
- Journal Article; Research Support, Non-U.S. Gov't
- MeSH Terms:
-
Delivery of Health Care*/ethnology
Delivery of Health Care*/statistics & numerical data
Patient Dropouts*/ethnology
Patient Dropouts*/statistics & numerical dataSub -Saharan African People*/statistics & numerical data
Maternal-Child Health Services*/statistics & numerical data
Child ; Female ; Humans ; Infant, Newborn ; Pregnancy ; Kenya/epidemiology ; Machine Learning ; Tanzania/epidemiology ; Rural Population/statistics & numerical data ; Social Media/statistics & numerical data ; Internet Use/statistics & numerical data ; Residence Characteristics/statistics & numerical data ; Economic Status/statistics & numerical data ; Democratic Republic of the Congo/epidemiology ; Risk Factors
Czasopismo naukowe