We developed a predictive model to automatically detect gamification elements in breast cancer mobile apps, addressing the lack of scalable methods for analyzing large datasets. Using titles and descriptions from app stores, our model achieved high accuracy (85% ROC) in identifying gamified apps. This tool enables researchers to efficiently screen apps for gamification, supporting further exploration of its role in...
We explored the challenges and opportunities healthcare professionals face when integrating electronic patient-reported outcomes (ePROs) into cancer care. Using a systematic mapping study, we identified key themes, including clinical workflow, organizational support, usability, and data visualization. Our findings emphasize the importance of seamless integration into electronic health records (EHRs), user-friendly features, and effective communication between patients and clinicians.
Mobile apps for breast cancer have grown in number, offering resources for patients and healthcare providers. This analysis of 599 apps from leading app stores revealed a focus on disease and treatment information, disease management, and awareness-raising. Most apps were patient-oriented, with limited healthcare professional involvement and a lack of source material or disclaimers. Almost 80% of the apps didn't...
