Prognostic study of hemorrhagic stroke patients based on GABP neural network model

• DOI: 10.23977/phpm.2023.030605
• Publication Date: 2023-12-06T03:36:06Z
• Authors: Anqi Wang; Jing Zhao; Dongchen Mao; Bo Li; Mingke Li
• Keywords: Stroke; Medical History; Past medical history

Hemorrhagic stroke is a serious cerebrovascular disease, which seriously endangers our life safety. Clinical intelligent diagnosis and treatment of hemorrhagic stroke, as combination artificial intelligence medical treatment, very conducive to improving the monitoring patients' pathological cycle changes through data flow. Therefore, based on BP neural network model, this paper personal history, morbidity history 100 patients with well patient prognosis assessment information. A model GABP was constructed successfully predict 90-day mRS Score patients, provide recommendations for clinical decision-making according correlation between imaging features.