Logo Lanfrica

Multilingual Conversational AI Framework for Empowering Maternal and Child Healthcare in Zimbabwe

Creator:
BriSam
Publisher:
IEEE
Host:

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similar

A PRESCRIPTIVE ANALYTICS FRAMEWORK FOR RISK-INTEGRATED MATERNAL HEALTHCARE RESOURCE ALLOCATION IN ZIMBABWE

This paper presents a Prescriptive Analytics Framework for Maternal Health (PAMH) for risk-integrate

Language-Agnostic Chatbot: A Cross-Lingual Conversational AI Framework for Multilingual Support Using Transformer-Based Architecture

Language barriers remain a significant obstacle to equitable access to information and services in a

A Prescriptive Analytics Framework for Risk-Integrated Maternal Healthcare Resource Allocation in Zimbabwe<p></p>

This paper presents a Prescriptive Analytics Framework for Maternal Health (PAMH) for r

Internal Migration in Kenya: Implications for Maternal and Child Healthcare Utilization

Kenya has achieved impressive declines in maternal and under-five mortality over the last few decade

Child Growth According to Maternal and Child HIV Status in Zimbabwe

Background: Growth failure is common among HIV-infected infants, but there are limited

Conversational AI for Child Abuse Detection Through Multistage Counseling: Model Development and Validation Study

Background: Child abuse severely disrupts the healthy growth and development of children, resulti