TY -的A2 Pandurangan Ashok盟——刘,方非盟,刘小丽盟——阴畅游AU -王,泓嵘PY - 2022 DA - 2022/01/06 TI -急性消化道出血的护理价值分析和风险评估使用可替换主体强化学习算法SP - 7874751六世- 2022 AB -消化道出血(直布罗陀海峡)表示消化系统中的一个问题。血液可以在粪便或呕吐;然而,它并不总是可见的,即使它使凳子出现微暗的或泥泞。严酷的出血范围可以从光严重,可以是危险的。建议护理价值分析和风险评估患者的直布罗陀海峡是至关重要的,但现有的风险评估技术的功能不一致。机器学习(ML)有可能增加风险评估。评估风险的患者的直布罗陀海峡,得分技术是无效的;机器学习方法会有所帮助。结果,我们现在а独特的基于机器学习护理价值分析和风险评估框架,本研究构建一个模型来评估医院干预或死亡率的风险个人直布罗陀海峡和其他评级系统进行比较。最初,收集数据,并进行了预处理。 Feature extraction is done using local binary patterns (LBP). Classification is performed using a fuzzy support vector machine (FSVM) classifier. For risk assessment and nursing value analysis, machine learning-based prediction using a multiagent reinforcement algorithm is employed. For improving the performance of the proposed system, we use spider monkey optimization (SMO) algorithm. The performance metrics like classification accuracy, area under the receiver-operating characteristic curve (AUROC), area under the curve (AUC), sensitivity, specificity, and precision are analyzed and compared with the traditional approaches. In individuals with GIB, the suggested technique had a good–excellent prognostic efficacy, and it outperformed other traditional models. SN - 1687-6121 UR - https://doi.org/10.1155/2022/7874751 DO - 10.1155/2022/7874751 JF - Gastroenterology Research and Practice PB - Hindawi KW - ER -