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Design and Application of an Artificial Intelligence Follow-up System for Gestational Hypertension / 医学信息学杂志
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.
Mots clés
Texte intégral: 1 Base de données: WPRIM Langue: Zh Journal: Journal of Medical Informatics Année: 2024 Type de document: Article
Texte intégral: 1 Base de données: WPRIM Langue: Zh Journal: Journal of Medical Informatics Année: 2024 Type de document: Article