Mother: a maternal online technology for health care dataset
Abstract Objectives These data enable the development of both textual and speech based conversational machine learning models that can be used by expectant mothers to provide answers to challenges they face during the different trimesters of their pregnancy. Such models are key to the improvement of...
Saved in:
| Main Authors: | Odongo Steven Eyobu, Brian Angoda Nyanga, Lukman Bukenya, Daniel Ongom, Tonny J. Oyana |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-04-01
|
| Series: | BMC Research Notes |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13104-025-07230-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Hajj-FQA: A benchmark Arabic dataset for developing question-answering systems on Hajj fatwas
by: Hayfa A. Aleid, et al.
Published: (2025-07-01) -
VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator
by: Anh-Khoa NGO-HO, et al.
Published: (2024-10-01) -
VQABG: Vietnamese question/answers benchmark generator for field-specific chatbot ground-truth dataset using EMINI (Exact Match wIth Numeric Information) indicator
by: Anh-Khoa NGO-HO, et al.
Published: (2024-10-01) -
An Optimized LSTM Model for Diagnosis Prediction of Lower Respiratory Tract Infections Using a Minimalistic Data Set
by: Lukman Bukenya, et al.
Published: (2025-01-01) -
Leveraging health financing, digital health and self-care approaches to strengthen maternal health journeys in India: perspectives from Assam
by: Sowmya Ramesh, et al.
Published: (2025-04-01)