Authors :
Aishat Abdullahi; Naseer Sanni Ajoge; Yusuf Abubakar; Mohammed Auwal Ahmed
Volume/Issue :
Volume 7 - 2022, Issue 6 - June
Google Scholar :
https://bit.ly/3IIfn9N
Scribd :
https://bit.ly/3Qtizu2
DOI :
https://doi.org/10.5281/zenodo.6979180
Abstract :
Chatbot is an Artificial Intelligent technology
(AI) that has been used in several computer assistive social
interactions. They are designed to convincingly simulate
how humans behave in a natural conversation with a
partner. Information Technology and AI have been
deployed in health care especially in medical information
but such deployment can be enhanced with a chatbot in
antenatal services. Maternal and newborn mortality is still
on the rise in Nigeria and medical personnel are in short
supply, hence a virtual expert that can assist the pregnant
mothers in basic medical advice is suitable. A preliminary
survey was conducted to ensure the desirability of the
system where data obtained from two categories of
respondents, medical experts and beneficiaries (pregnant
mothers) were analyzed and the result shows that both
categories of respondents generally agreed on the
desirability of the antenatal chatbot. Objective: The
proposed design in this paper suggests a Microsoft Azure
server hosting and managing the knowledge-based back
end. Method: It applies Deep Neural Network engine for
analyzing the user queries and generating responses using
Artificial Intelligence Markup Language (AIML). A good
and implementable prototype from our design will ensure
an ante-natal chatbot (Ante-natalbot) system that can
analyze preferences of the users and be able to intelligently
predict or provide better user-centric recommendations.
Result: This intelligence will be achieved at the full
implementation of the Ante-natalbot system with reference
to the expert (physician) responses over time. Conclusion:
This paper is an early step into exploring the concepts, and
the acceptability of such a system by the practitioners and
the beneficiaries (pregnant women). It serves as in-road
into the implementation of a virtual system that simulate
professional personnel services to the ante-natal service
seekers.
Keywords :
Ante-Natal Care, Artificial Intelligence, ChatBot, Human Aware AI, Virtual Agents
Chatbot is an Artificial Intelligent technology
(AI) that has been used in several computer assistive social
interactions. They are designed to convincingly simulate
how humans behave in a natural conversation with a
partner. Information Technology and AI have been
deployed in health care especially in medical information
but such deployment can be enhanced with a chatbot in
antenatal services. Maternal and newborn mortality is still
on the rise in Nigeria and medical personnel are in short
supply, hence a virtual expert that can assist the pregnant
mothers in basic medical advice is suitable. A preliminary
survey was conducted to ensure the desirability of the
system where data obtained from two categories of
respondents, medical experts and beneficiaries (pregnant
mothers) were analyzed and the result shows that both
categories of respondents generally agreed on the
desirability of the antenatal chatbot. Objective: The
proposed design in this paper suggests a Microsoft Azure
server hosting and managing the knowledge-based back
end. Method: It applies Deep Neural Network engine for
analyzing the user queries and generating responses using
Artificial Intelligence Markup Language (AIML). A good
and implementable prototype from our design will ensure
an ante-natal chatbot (Ante-natalbot) system that can
analyze preferences of the users and be able to intelligently
predict or provide better user-centric recommendations.
Result: This intelligence will be achieved at the full
implementation of the Ante-natalbot system with reference
to the expert (physician) responses over time. Conclusion:
This paper is an early step into exploring the concepts, and
the acceptability of such a system by the practitioners and
the beneficiaries (pregnant women). It serves as in-road
into the implementation of a virtual system that simulate
professional personnel services to the ante-natal service
seekers.
Keywords :
Ante-Natal Care, Artificial Intelligence, ChatBot, Human Aware AI, Virtual Agents