Design and Application of an Artificial Intelligence Follow-up System for Gestational Hypertension / 医学信息学杂志
Journal of Medical Informatics
; (12): 89-92, 2024.
Article
de Zh
| WPRIM
| ID: wpr-1023480
Bibliothèque responsable:
WPRO
ABSTRACT
Purpose/Significance Gestational hypertension poses a serious threat to maternal health.Artificial intelligence(AI)fol-low-up and management systems contributes to the health of gestational hypertension.Method/Process The paper establishes an AI fol-low-up system for gestational hypertension based on big data technology and data platforms,including modules such as patient informa-tion management,follow-up data management,follow-up plan management,and patient course management.Result/Conclusion The follow-up system can assist doctors in understanding changes in patients'diseases and meet the hospital's follow-up management re-quirements for gestational hypertension in outpatient clinics.
Texte intégral:
1
Base de données:
WPRIM
Langue:
Zh
Journal:
Journal of Medical Informatics
Année:
2024
Type de document:
Article