Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Classification of Illness01:17

Classification of Illness

8.5K
The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe...
8.5K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

829
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
829

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Preconception counselling components in women with serious mental illness: a scoping review.

Journal of reproductive and infant psychology·2026
Same author

Risk of perinatal psychiatric disorder among women with a history of premenstrual disorder: a nationwide register-based study from Sweden.

BMJ open·2026
Same author

Mental Dysregulation in Emergency Care, the Barriers Encountered and Competencies Needed by Professionals: A Qualitative Study.

Journal of emergency nursing·2026
Same author

The interplay between affective and cognitive symptoms in difficult-to-treat depression: A symptom network analysis.

Journal of affective disorders·2026
Same author

Exploring work motivation in High and Intensive Care wards with the confession booth: An innovative approach.

International journal of nursing studies advances·2026
Same author

Imipramine: Do Metabolite Plasma Levels Affect Treatment Response?

Journal of clinical psychopharmacology·2026

相关实验视频

Updated: Jan 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K

开发一种机器学习模型,利用临床笔记预测强制性精神病治疗.

Eline W Nap1, Floortje E Scheepers2, Cornelis L Mulder3,4

  • 1Parnassia Groep, Den Haag, The Netherlands. e.nap@parnassiagroep.nl.

BMC psychiatry
|November 27, 2025
PubMed
概括

一个新的机器学习算法可以提前两个月预测超过一半的强制性精神病治疗入院. 这种早期识别可以及时进行干预,并可能防止需要强制性护理.

关键词:
强制性护理机构是指强制性护理机构.机器学习是机器学习.心理健康护理 心理健康护理预测 预测 预测

更多相关视频

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K

相关实验视频

Last Updated: Jan 6, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.5K
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.9K
Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.6K

科学领域:

  • 精神病学是一个精神病学.
  • 机器学习 机器学习
  • 医疗保健信息学 医疗保健信息学

背景情况:

  • 早期识别面临强制精神病治疗高风险的患者对于及时干预至关重要.
  • 积极的措施有可能避免强制性精神病治疗的必要性.

研究的目的:

  • 开发一种机器学习算法,用于早期预测强制性精神病治疗.
  • 为危险患者提供及时干预和预防策略.

主要方法:

  • 利用已知的风险因素和来自电子健康记录的临床笔记.
  • 开发了一个机器学习模型,使用来自荷兰精神卫生机构的数据.

主要成果:

  • 预测模型实现了0.91.1的精度.
  • 在60天前成功识别了超过50%的强制性护理轨迹.
  • 以前的强制性护理事件是最重要的预测因素;结合临床笔记提高了表现.

结论:

  • 对不良精神事件的预测建模显示出对临床实践的希望.
  • 了解模型功能和输入变量是提高临床相关性的关键.