التفاصيل البيبلوغرافية
| العنوان: |
EHR-Based Mobile and Web Platform for Chronic Disease Risk Prediction Using Large Language Multimodal Models |
| المؤلفون: |
Liao, Chun-Chieh, Kuo, Wei-Ting, Hu, I-Hsuan, Shih, Yen-Chen, Ding, Jun-En, Liu, Feng, Hung, Fang-Ming |
| سنة النشر: |
2024 |
| المجموعة: |
Computer Science |
| مصطلحات موضوعية: |
Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computation and Language |
| الوصف: |
Traditional diagnosis of chronic diseases involves in-person consultations with physicians to identify the disease. However, there is a lack of research focused on predicting and developing application systems using clinical notes and blood test values. We collected five years of Electronic Health Records (EHRs) from Taiwan's hospital database between 2017 and 2021 as an AI database. Furthermore, we developed an EHR-based chronic disease prediction platform utilizing Large Language Multimodal Models (LLMMs), successfully integrating with frontend web and mobile applications for prediction. This prediction platform can also connect to the hospital's backend database, providing physicians with real-time risk assessment diagnostics. The demonstration link can be found at https://www.youtube.com/watch?v=oqmL9DEDFgA. |
| نوع الوثيقة: |
Working Paper |
| URL الوصول: |
http://arxiv.org/abs/2406.18087 |
| رقم الانضمام: |
edsarx.2406.18087 |
| قاعدة البيانات: |
arXiv |