机器学习和人工智能在预防自杀方面:对新兴趋势和护理方面的影响进行图书统计分析
1Department of Psychiatric Nursing, Faculty of Nursing, İnönü University, Malatya, Türkiye.
人工智能 (AI) 和机器学习 (ML) 可以通过改善风险评估和早期干预,显著帮助护士预防自杀. 这些技术增强了患者的监测和沟通,支持护士识别和支持处于危险的个体.
科学领域:
- 护理信息学 护理信息学
- 心理健康技术 心理健康技术
- 医疗保健中的人工智能
背景情况:
- 护士在预防自杀方面至关重要,但在他们的实践中使用AI和ML并未得到充分理解.
- 整合先进技术可以提高护士识别和管理自杀风险患者的能力.
研究的目的:
- 系统地分析人工智能和机器学习技术在护理中的整合,以预防自杀.
- 确定这些技术在临床护理实践中的关键研究趋势和潜在应用.
主要方法:
- 从2019年1月到2024年10月,对出版物进行系统的文献计量分析和主题绘制.
- 搜索了科学网络数据库,从最初的883个中确定了257个相关出版物.
主要成果:
- 确定了六个不同的研究集群,基于机器学习的行为预测是最突出的主题.
- 人工智能支持的工具显示出在风险评估和早期干预方面护理工作流程的巨大潜力.
- 自然语言处理和生态瞬间评估对护士-病人沟通和监测有希望.
结论:
- 护士可以有效地利用人工智能技术预防自杀,增强而不是取代人类护理要素.
- 提供基于证据的指导,用于实施人工智能支持的自杀预防工具,同时保持治疗关系和临床判断.
更多相关视频
06:19Constructing and Visualizing Models using Mime-based Machine-learning Framework
Published on: July 22, 2025
04:09Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
Published on: October 10, 2018
相关概念视频
Current Trends in Nursing II
Current Trends in Nursing I
Nursing Interventions II: Selecting and Classifying the Nursing Interventions
Nursing Process for Patient and Caregiver Teaching I: Assessment and Diagnosis
It is critical to determine the patient's learning needs during the assessment. Determination of learning needs compounds data...
Documentation of Nursing Diagnosis
In some settings, data-driven computerized decision support systems are in place, allowing for more accurate nursing diagnoses. The database within one of these systems includes diagnostic labels defining characteristics, activities, and indicators for nursing. A nurse enters...
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
