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dc.contributor.authorBundi, Dorothy
dc.contributor.authorThiga, Moses
dc.contributor.authorMutua, Stephen
dc.date.accessioned2021-12-14T12:03:59Z
dc.date.available2021-12-14T12:03:59Z
dc.date.issued2021-10
dc.identifier.urihttp://ir.kabarak.ac.ke/handle/123456789/773
dc.description.abstractIngeniously, the innovations taking place in current medical era, where technology plays a dynamic role in pregnant women care taking both inside hospital and outside. Integration of Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and Blockchain technologies is deemed to ensure the effective and efficient care of pregnant women in any environment because intelligent tiny devices like Radio Frequency Tags (RF-Tags), Sensors are attached with pregnant women, and all the activities of pregnant women can be monitored by professional medical staff from anywhere and anytime. The usage of these advanced destructive technologies in pregnant women care environment, absolutely eradicates the pregnancy complications and harmful incidents, but also promotes privacy, integrity and availability of maternal health systems. The purpose of this paper is to discuss the usage of IoT, artificial intelligence, machine learning and blockchain in pregnant women healthcare environments and articulates endorsements to promote future research and also guarantee the pregnant women’s data privacy is preserved. The study further seeks to unveil the potential benefits of integrating the four medical digital technologies into a single maternal healthcare application to reap their singular benefits. The study will apply an exploratory research design to review the existing literature on the destructive technologies and the results will be used to develop a conceptual framework that would be used to guide future research in maternal healthcare.en_US
dc.language.isoenen_US
dc.publisherKABARAK UNIVERSITYen_US
dc.subjectMaternal Healthen_US
dc.subjectIoTsen_US
dc.subjectBlockchainen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectMachine Learningen_US
dc.titleThe Role of IoT, Blockchain, Artificial Intelligence and Machine Learning in Maternal Healthen_US
dc.typeArticleen_US


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