@inproceedings{9f6b9ba583f1480195cf92a48a1bb6a4,
title = "Utilizing Digital Twin to Create Personas Representing Ovarian Cancer Patients and Their Families",
abstract = "OvCa patients and caregivers perceived challenges in online health information seeking. The HELPeR recommendation system utilized digital twins to create personas reflecting real-world OvCa patients and caregivers. The aim of this study was to describe the creation of digital twins and demonstrate their use cases in the study. Digital twins of OvCa patients and caregivers were created by triangulating multiple sources, including online cancer forums, direct interviews with patients and caregivers, domain expert input, and clinical notes. 10 personas were created for both OvCa patients and caregivers who had a variety of cancer trajectories and information interests. These digital twins present a potential solution for training artificial intelligence models at the initial phase when there is a scarcity of user information.",
keywords = "online health information seeking, Ovarian cancer, recommendation system",
author = "Youjia Wang and Khushboo Thaker and Vivian Hui and Peter Brusilovsky and Daqing He and Heidi Donovan and Lee, {Young Ji}",
note = "Publisher Copyright: {\textcopyright} 2024 The Authors.; 16th International Congress on Nursing Informatics, NI 2024 ; Conference date: 28-07-2024 Through 31-07-2024",
year = "2024",
month = jul,
day = "24",
doi = "10.3233/SHTI240314",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press BV",
pages = "754--756",
editor = "Gillian Strudwick and Hardiker, {Nicholas R.} and Glynda Rees and Robyn Cook and Robyn Cook and Lee, {Young Ji}",
booktitle = "Innovation in Applied Nursing Informatics",
}