Design and Application of an Artificial Intelligence Follow-up System for Gestational Hypertension
10.3969/j.issn.1673-6036.2024.01.015
- VernacularTitle:妊娠高血压人工智能随访系统设计与应用
- Author:
Xinyi HUANG
1
;
Xiaoping ZHOU
;
Jianjun GUO
;
Rongrong SHENG
;
Zhongmin WANG
;
Jue WANG
;
Nana YANG
;
Yin YIN
Author Information
1. 南京医科大学第一附属医院 南京 210029
- Keywords:
gestational hypertension;
artificial intelligence follow-up;
system design
- From:
Journal of Medical Informatics
2024;45(1):89-92
- CountryChina
- Language:Chinese
-
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.
