%0 Journal Article
%@ 2561-326X
%I JMIR Publications
%V 7
%N 
%P e50210
%T Digital Personal Health Coaching Platform for Promoting Human Papillomavirus Infection Vaccinations and Cancer Prevention: Knowledge Graph-Based Recommendation System
%A Ammar,Nariman
%A Olusanya,Olufunto A
%A Melton,Chad
%A Chinthala,Lokesh
%A Huang,Xiaolei
%A White,Brianna M
%A Shaban-Nejad,Arash
%+ Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, University of Tennessee Health Science Center, 50 North Dunlap Street - R492, Memphis, TN, United States, 1 9012875863, ashabann@uthsc.edu
%K health information exchanges
%K knowledge graphs
%K recommender systems
%K personal health libraries
%K vaccine promotion
%K cancer prevention
%K personal health informatics
%D 2023
%7 15.11.2023
%9 Original Paper
%J JMIR Form Res
%G English
%X Background: Health promotion can empower populations to gain more control over their well-being by using digital interventions that focus on preventing the root causes of diseases. Digital platforms for personalized health coaching can improve health literacy and information-seeking behavior, leading to better health outcomes. Personal health records have been designed to enhance patients’ self-management of a disease or condition. Existing personal health records have been mostly designed and deployed as a supplementary service that acts as views into electronic health records. Objective: We aim to overcome some of the limitations of electronic health records. This study aims to design and develop a personal health library (PHL) that generates personalized recommendations for human papillomavirus (HPV) vaccine promotion and cancer prevention. Methods: We have designed a proof-of-concept prototype of the Digital Personal Health Librarian, which leverages machine learning; natural language processing; and several innovative technological infrastructures, including the Semantic Web, social linked data, web application programming interfaces, and hypermedia-based discovery, to generate a personal health knowledge graph. Results: We have designed and implemented a proof-of-the-concept prototype to showcase and demonstrate how the PHL can be used to store an individual’s health data, for example, a personal health knowledge graph. This is integrated with web-scale knowledge to support HPV vaccine promotion and prevent HPV-associated cancers among adolescents and their caregivers. We also demonstrated how the Digital Personal Health Librarian uses the PHL to provide evidence-based insights and knowledge-driven explanations that are personalized and inform health decision-making. Conclusions: Digital platforms such as the PHL can be instrumental in improving precision health promotion and education strategies that address population-specific needs (ie, health literacy, digital competency, and language barriers) and empower individuals by facilitating knowledge acquisition to make healthy choices. 
%M 37966885
%R 10.2196/50210
%U https://formative.jmir.org/2023/1/e50210
%U https://doi.org/10.2196/50210
%U http://www.ncbi.nlm.nih.gov/pubmed/37966885