ArticleProceedings of the conference. Association for Computational Linguistics. Meeting2020
Towards an ontology-based medication conversational agent for PrEP and PEP.
Article in Proceedings of the conference. Association for Computational Linguistics. Meeting, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effectiveness and acceptability of conversational agents for sexual health promotion: a systematic review and meta-analysis.Sexual health · 2022Pooled it
- Artificial intelligence in HIV research, policy, and clinical care.The lancet. HIV · 2026Review
- A Survey of Conversational Agents and Their Applications for Self-Management of Chronic Conditions.Proceedings : Annual International Computer Software and Applications Conference. COMPSAC · 2023Article
- Application of artificial intelligence and machine learning for HIV prevention interventions.The lancet. HIV · 2022Review
- Neoantigen evolution in head and neck cancer progression: where do we go from here?Oncotarget · 2021Article
- Impact of pre-exposure and post-exposure prophylaxes prevention programme on HIV burden and services in a low-resource setting: a simulation modelling approach.The Pan African medical journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
HIV (human immunodeficiency virus) can damage a human's immune system and cause Acquired Immunodeficiency Syndrome (AIDS) which could lead to severe outcomes, including death. While HIV infections have decreased over the last decade, there is still a significant population where the infection permeates. PrEP and PEP are two proven preventive measures introduced that involve periodic dosage to stop the onset of HIV infection. However, the adherence rates for this medication is low in part due to the lack of information about the medication. There exist several communication barriers that prevent patient-provider communication from happening. In this work, we present our ontology-based method for automating the communication of this medication that can be deployed for live conversational agents for PrEP and PEP. This method facilitates a model of automated conversation between the machine and user can also answer relevant questions.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.