التفاصيل البيبلوغرافية
| العنوان: |
AI-supported methods for analysis of unstructured text responses in patient surveys in primary healthcare |
| المؤلفون: |
Eriksson, Pär, Kopacheva, Elizaveta, Hammar, Tora |
| المصدر: |
International Symposium on Digital Transformation ; 2024: 3rd International Symposium on Digital Transformation: Book of Abstracts |
| بيانات النشر: |
Linnaeus University Press |
| سنة النشر: |
2024 |
| مصطلحات موضوعية: |
AI technology, sentiment analysis, opinion mining, primary healthcare, service delivery |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
application/pdf |
| اللغة: |
English |
| Relation: |
https://open.lnu.se/index.php/isdt/article/view/4665/4152; https://open.lnu.se/index.php/isdt/article/view/4665 |
| الاتاحة: |
https://open.lnu.se/index.php/isdt/article/view/4665 |
| Rights: |
Copyright (c) 2024 Pär Eriksson, Elizaveta Kopacheva, Tora Hammar ; https://creativecommons.org/licenses/by/4.0 |
| رقم الانضمام: |
edsbas.66DCD9B8 |
| قاعدة البيانات: |
BASE |