Crowdsourcing a Training Dataset of Question-and-Answer Pairs for AI-Enabled Health Information Tools on Sexually Transmitted Infections: Protocol for a Cross-Sectional Exploratory Survey Study

Authors

Martin Balaba (ORCID: https://orcid.org/0000-0001-6219-7396)
Elizabeth Oseku (ORCID: https://orcid.org/0000-0002-0049-3787)
Agnes Bwanika Naggirinya (ORCID: https://orcid.org/0000-0001-8722-4135)
Rosalind M. Parkes-Ratanshi (ORCID: https://orcid.org/0000-0001-9297-1311)
Rachel King (ORCID: https://orcid.org/0000-0002-0085-3498)
Petra Kerubo Mariaria (ORCID: https://orcid.org/0009-0006-6322-4249)
Henry Semakula (ORCID: https://orcid.org/0000-0001-6692-8248)
Clare Allelua Kahuma

Institutions

University of California System (US)
Makerere University (UG)

Publication Details

Journal: JMIR Research Protocols
Published: 2025-05-27
DOI: https://doi.org/10.2196/70005
Primary Topic: Data-Driven Disease Surveillance
Type: article
Field-Weighted Citation Impact: 0.00

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article

Crowdsourcing a Training Dataset of Question-and-Answer Pairs for AI-Enabled Health Information Tools on Sexually Transmitted Infections: Protocol for a Cross-Sectional Exploratory Survey Study

Martin Balaba, Elizabeth Oseku, Agnes Bwanika Naggirinya, Rosalind M. Parkes-Ratanshi et al.

May 27, 2025

JMIR Research Protocols

Data-Driven Disease Surveillance

article

Crowdsourcing a Training Dataset of Question-and-Answer Pairs for AI-Enabled Health Information Tools on Sexually Transmitted Infections: Protocol for a Cross-Sectional Exploratory Survey Study

Martin Balaba, Elizabeth Oseku, Agnes Bwanika Naggirinya, Rosalind M. Parkes-Ratanshi, Rachel King, Petra Kerubo Mariaria, Henry Semakula, Clare Allelua Kahuma

May 27, 2025article en

Abstract

No abstract available for this paper.

JMIR Research ProtocolsVol. 14

University of California System (US), Makerere University (UG)

Gender equality

Openalex Percentile: Top 83%

Data-Driven Disease Surveillance

DOI Open Access PDF OpenAlex

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