The application effect of artificial intelligence in the health management of two chronic diseases
人工智能在两慢病健康管理中的应用效果

摘要

目的 探究分析人工智能在两慢病健康管理中的应用效果。方法 选取于2023年7月至2024年7月期间，院内收治的两慢病患者共102例，作为本次研究对象。以患者出生日期为基础，应用随机数表法，将102例两慢病患者随机分为对照组与观察组。对照组采用常规健康管理，观察组采用基于人工智能的健康管理，干预结束后，对比两组患者的血糖指标以及血压指标。结果 在血糖指标方面，干预前两组患者对比无明显差异，P＞0.05，干预后观察组餐后2小时血糖以及空腹血糖指标均低于对照组，P＜0.05。在血压指标方面，干预前两组患者对比无明显差异，P＞0.05，干预后观察组收缩压以及舒张压均低于对照组，P＜0.05。结论 基于人工智能的健康管理可显著改善两慢病患者血糖指标以及血压指标，值得推广与应用。

Abstract

Objective To explore and analyze the application effect of artificial intelligence in the health management of two chronic diseases.
Methods A total of 102 patients with chronic diseases admitted to the hospital between July 2023 and July 2024 were selected as the subjects of this study. Based on the patient's date of birth, 102 patients with chronic diseases were randomly divided into a control group and an observation group using a random number table method. The control group received routine health management, while the observation group received AI based health management. After the intervention, the blood glucose and blood pressure indicators of the two groups of patients were compared.
Results In terms of blood glucose indicators, there was no significant difference between the two groups of patients before intervention, P>0.05. After intervention, the 2-hour postprandial blood glucose and fasting blood glucose indicators in the observation group were lower than those in the control group, P<0.05. In terms of blood pressure indicators, there was no significant difference between the two groups of patients before intervention, P>0.05. After intervention, the systolic and diastolic blood pressure in the observation group were lower than those in the control group, P<0.05.
Conclusion   Health management based on artificial intelligence can significantly improve blood glucose and blood pressure indicators in patients with chronic diseases, and it is worth promoting and applying.