Research and Application of Artificial Intelligence and Computer Big Data Technology in the Individualized Nursing Care Platform

被引：0

作者：

Xu, Chunmiao ^{[1
]}

Gao, Yin ^{[1
]}

Qi, Li ^{[1
]}

Li, Guiling ^{[1
]}

Li, Meiqian ^{[1
]}

Yang, Liqun ^{[1
]}

机构：

[1] Qiqihar Med Univ, Nursing Sch, Qiqihar, Peoples R China

来源：

2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA) | 2022年

关键词：

computer; big data; cognitive diagnosis model for depression; personalized nursing system;

D O I：

10.1109/EEBDA53927.2022.9744853

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Based on the DINO model, this article develops a separate multi-level scoring cognitive diagnosis model (P-DINO model) and uses a combination of Monte Carlo simulation and empirical research to discuss the performance and effectiveness of the new model. At the same time, we design a depression detection software based on voice signals, including an analysis system based on deep learning and user terminal software based on the iOS platform, to provide a new way for early screening of depression and to reduce depression detection to a certain extent the cost of. The results show that in the evaluation of depressive symptoms, the performance of the P-DINO model is better than that of the DINO model and the traditional evaluation of depressive symptoms.

引用

页码：421 / 425

页数：5

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