Throughout the evolution of software systems, empirical methodologies have been used in
their development process, even in the Internet of Things (IoT) paradigm, to develop IoT …

Objective To explore digital health interventions that have been used to support pregnant
women at high risk for pre-eclampsia/eclampsia (HRPE/E) in low-income and middle …

Purpose The Internet of Things (IoT), which enables smart objects to collect and exchange
data, has a variety of application domains used in everyday life including healthcare. As a …

The Internet of Things (IoT) has positioned itself globally as a dominant force in the
technology sector. IoT, a technology based on interconnected devices, has found …

Objective To discuss the points that still challenge low‐and middle‐income countries
(LMICs) and strategies that have been studied to help them overcome these issues …

Background Efforts to improve antenatal care have been heightened to reduce global
maternal deaths. In resource-limited settings, community-based interventions play a pivotal …

Preeclampsia is one of the leading causes of maternal deaths and pregnancy-related
complications in many low-income countries. Factors related to preeclampsia include lack of …

Preeclampsia detection research has started exploring some methods to diagnose and
predict preeclampsia. Machine learning (ML) methods and the Internet of Things (IoT) have …

Typically, routine prenatal care includes several in-person visits with healthcare
professionals by pregnant women, where fetal and maternal assessments are performed …

Objective This review aims to assess digital health modalities, their applicability, and
outcomes in maternal care. Method We conducted a scoping review by searching four …