The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study

Authors

Xinying Sun (ORCID: https://orcid.org/0000-0001-6638-1473)
Xing Lin Feng (ORCID: https://orcid.org/0000-0003-3588-1859)
Ping Chen (ORCID: https://orcid.org/0000-0001-7815-7532)
Yi Li (ORCID: https://orcid.org/0000-0002-6318-405X)
Xuxi Zhang (ORCID: https://orcid.org/0000-0003-1857-0063)

Institutions

Peking University (CN)

Publication Details

Journal: BMC Public Health
Published: 2024-08-21
DOI: https://doi.org/10.1186/s12889-024-19667-4
Citations: 11
Primary Topic: Mobile Health and mHealth Applications
Type: article
Field-Weighted Citation Impact: 9.34

Funders

National Key Research and Development Program of China

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article

The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study

Xinying Sun, Xing Lin Feng, Ping Chen, Yi Li et al.

Aug 21, 2024

11 citations

BMC Public Health

Mobile Health and mHealth Applications

9.34

article

The acceptability and effectiveness of artificial intelligence-based chatbot for hypertensive patients in community: protocol for a mixed-methods study

Xinying Sun, Xing Lin Feng, Ping Chen, Yi Li, Xuxi Zhang

August 21, 2024article en

11 citations

Abstract

No abstract available for this paper.

BMC Public HealthVol. 24(1)

Peking University (CN)

National Key Research and Development Program of China

Openalex Percentile: Top 2%

Mobile Health and mHealth Applications

9.34

DOI Open Access PDF OpenAlex

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