MAMA BOT: A SYSTEM BASED ON ML AND NLP FOR SUPPORTING WOMEN DURING PREGNANCY

Artificial Intelligence in healthcare represents a significant paradigm shift in diagnostic approaches, drugdiscovery, health analytics, and therapies. This study examines the application of AI-based chatbot systems, whichare primarily built using machine learning algorithms and/or Natural Language Processing, to understand andrespond to the needs of patients and their families. An application has been developed for the scenario of providingsupport to pregnant women, mothers, and families with young children within suitable contexts. In moments ofuncertainty, stress, or happiness, the chatbots can provide supportive reassurance, timely information, and usefulsupport at the moment. The proposed system reminds a mother of her next prenatal appointment. It answersquestions about baby nutrition. They proposed a system that bridges care that responds in each user's language,culture, and unique needs, providing increased accessibility and inclusiveness of important health knowledge.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-30
DOI
https://doi.org/10.5281/zenodo.16592903
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MAMA BOT: A SYSTEM BASED ON ML AND NLP FOR SUPPORTING WOMEN DURING PREGNANCY

Zenodo (CERN European Organization for Nuclear Research)
AI in Service Interactions
article

MAMA BOT: A SYSTEM BASED ON ML AND NLP FOR SUPPORTING WOMEN DURING PREGNANCY

article en

Abstract

Artificial Intelligence in healthcare represents a significant paradigm shift in diagnostic approaches, drugdiscovery, health analytics, and therapies. This study examines the application of AI-based chatbot systems, whichare primarily built using machine learning algorithms and/or Natural Language Processing, to understand andrespond to the needs of patients and their families. An application has been developed for the scenario of providingsupport to pregnant women, mothers, and families with young children within suitable contexts. In moments ofuncertainty, stress, or happiness, the chatbots can provide supportive reassurance, timely information, and usefulsupport at the moment. The proposed system reminds a mother of her next prenatal appointment. It answersquestions about baby nutrition. They proposed a system that bridges care that responds in each user's language,culture, and unique needs, providing increased accessibility and inclusiveness of important health knowledge.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 76%
AI in Service Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.