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相关概念视频

Data Validation01:03

Data Validation

5.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.0K
Nursing Assessment01:29

Nursing Assessment

7.6K
The two sources for collecting information are primary and secondary. After gathering information, interpretation and validation help to complete the data. The purpose of assessment is to establish data with the initial information, to interpret data about the patient's perceived needs and health problems, and to respond to these problems identified.
The nurse collects all aspects of the patient's health in the initial assessment, establishing priorities for ongoing focused assessments...
7.6K
Nursing Clinical Information System01:27

Nursing Clinical Information System

778
Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
778
Nursing Diagnosis01:22

Nursing Diagnosis

2.7K
Following assessment, a nursing diagnosis is the next step in the nursing process. It begins after the nurse has collected and recorded the patient data. The purpose of diagnosing is to identify how the client responds to actual or potential health processes, identify factors that bestow or that cause health problems, the etiologies, and identify resources or strengths the individual, group, or community can draw on to prevent or resolve problems.
The nursing diagnosis focuses on evidence-based...
2.7K
Documentation of Nursing Diagnosis01:10

Documentation of Nursing Diagnosis

1.3K
The nurse documents nursing diagnoses and enters them into the patient record. The identified patient's nursing diagnosis is either written out with a plan of care or entered into the electronic health record.
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...
1.3K
Role of Communication in the Nursing Process I: Assessment and Diagnosis01:25

Role of Communication in the Nursing Process I: Assessment and Diagnosis

4.3K
The nursing process uses scientific reasoning, problem-solving, and critical thinking to guide nurses in providing patients with appropriate care. This process is a systematic approach to recognize, avoid, and treat current or potential health issues while promoting the patient's well-being.
The nursing process considers the patient's emotional and physical well-being. The process can be repeated or stopped at any point if judged essential. Assessment is the first step in the nursing...
4.3K

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相关实验视频

Updated: Jul 5, 2025

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

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机器学习模型从护理笔记中提取营养不良数据.

Mohammad Alkhalaf1,2, Mengyang Yin3, Chao Deng4

  • 1School of Computing and Information Technology, University of Wollongong, Australia.

Studies in health technology and informatics
|January 25, 2024
PubMed
概括
此摘要是机器生成的。

老年人营养不良是一个重大的健康问题. 一个新的ClinicalBioBert模型有效地从老年护理的护理笔记中识别营养不良,达到0.90.90.的高F1得分.

关键词:
自然语言处理自然语言处理.营养不良 营养不良 营养不良护理进度说明 护理进度说明

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科学领域:

  • 老年学是一门学科.
  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能

背景情况:

  • 营养不良是老年护理机构居民中普遍存在和严重的健康问题.
  • 电子健康记录 (EHR) 包含有价值的数据,以了解居民的健康状况.
  • 使用机器学习对护理笔记的自动分析是一个新兴的领域.

研究的目的:

  • 开发和评估一种机器学习模型,用于自动识别与营养不良有关的护理笔记.
  • 利用自然语言处理 (NLP) 的进步来进行临床数据分析.

主要方法:

  • 基于ClinicalBioBert的新型模型被提议用于分类护理笔记.
  • 临床BioBert模型的性能与两种主流方法进行了比较.
  • 评估指标包括F1得分来评估分类准确性.

主要成果:

  • 拟议的ClinicalBioBert模型在评估的方法中实现了最高的性能.
  • 该模型在识别营养不良时表现出0.90的优异F1得分.
  • 这表明对相关临床文档进行分类的准确性很高.

结论:

  • ClinicalBioBert提供了一种有前途的方法,用于在护理笔记中自动识别营养不良.
  • 这项技术可以帮助在住院养老院早期发现和管理营养不良.
  • 进一步的研究可以探索NLP在老年护理信息学中的更广泛应用.