Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 1 de 1
Filter
Add more filters











Database
Language
Publication year range
1.
Stud Health Technol Inform ; 315: 750-751, 2024 Jul 24.
Article in English | MEDLINE | ID: mdl-39049412

ABSTRACT

Inequities in health information access contribute to disparities in health outcomes. Health recommender systems have emerged as a promising solution to help users find the right information. Despite their various applications, it remains understudied how these systems can aid cancer patients. In this paper, we introduce HELPeR, a recommender system designed to assist ovarian cancer patients with their information needs. The design addresses cold-start challenges, drawing input from health experts and ovarian cancer forum posts. We evaluated HELPeR with nurse practitioners in a cold-start scenario, highlighting its benefits and areas for future improvement.


Subject(s)
Ovarian Neoplasms , Humans , Female , User-Computer Interface
SELECTION OF CITATIONS
SEARCH DETAIL