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

Nursing Clinical Information System01:27

Nursing Clinical Information System

866
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:
866
Clinical Trials: Overview01:11

Clinical Trials: Overview

3.4K
Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
3.4K
Clinical Trials01:16

Clinical Trials

8.4K
Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
8.4K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

628
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...
628
Specialized Care Centers and Settings-II01:30

Specialized Care Centers and Settings-II

777
Rural Health Centers
Rural health centers are specialized care facilities in remote locations with very few medical personnel. The primary care providers who run the centers are mostly Registered Nurse Practitioners. Here, emergency treatment is provided to critically ill or injured patients before they are transferred to the closest hospital. Fortunately, due to advancement in technology, many rural healthcare facilities and professionals have easy access to diagnostic and treatment...
777
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.9K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.9K

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

Abnormal amyloid PET usually represents intermediate/high Alzheimer's disease neuropathologic change.

Alzheimer's & dementia : the journal of the Alzheimer's Association·2026
Same author

Linking patient records at scale with a hybrid approach combining contrastive learning and deterministic rules.

Biology methods & protocols·2026
Same author

Vascular Surgery in South Africa in 2021.

European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery·2021
Same author

Association of cerebrovascular reactivity and Alzheimer pathologic markers with cognitive performance.

Neurology·2020
Same author

The Vascular Society of Southern Africa (VASSA).

South African journal of surgery. Suid-Afrikaanse tydskrif vir chirurgie·2015
Same author

Mapping the central effects of chronic ketamine administration in an adolescent primate model by functional magnetic resonance imaging (fMRI).

Neurotoxicology·2011
Same journal

A GenAI Pipeline for Violinist Kinematic Data Management.

Studies in health technology and informatics·2026
Same journal

AMAL-For-Qatar: A Comprehensive AI Ecosystem for Fetal Ultrasound Analysis - Project Overview and Achievements.

Studies in health technology and informatics·2026
Same journal

Longitudinal Treatment-Aware Multimodal AI for Dermatology: A Scoping Review.

Studies in health technology and informatics·2026
Same journal

Predicting Postpartum Depression Using Imbalance-Aware Machine Learning.

Studies in health technology and informatics·2026
Same journal

Validation of Deep-Learning Models for Autosegmentation of Brain Metastases.

Studies in health technology and informatics·2026
Same journal

Delay-Dependent Gating in Modular RNNs.

Studies in health technology and informatics·2026
查看所有相关文章

相关实验视频

Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682

结构化的LLM增强用于临床信息提取.

Ying Wei1,2, Qi Li1, Jay Pillai2

  • 1Iowa State University.

Studies in health technology and informatics
|August 8, 2025
PubMed
概括
此摘要是机器生成的。

本研究引入了一种使用大型语言模型 (LLM) 的新框架,用于增加命名实体识别 (NER) 和关系提取 (RE) 的临床数据,有效地解决临床信息提取中的数据稀缺问题.

关键词:
临床信息学是一种临床信息学.提取信息 提取信息大型语言模型

更多相关视频

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

579

相关实验视频

Last Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

579

科学领域:

  • 临床信息学是一种临床信息学.
  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 生物医学数据科学是生物医学数据科学.

背景情况:

  • 像命名实体识别 (NER) 和关系提取 (RE) 这样的信息提取任务对于临床研究至关重要,但由于隐私和成本而受到稀缺的标记临床数据的限制.
  • 现有的方法与临床文本的独特挑战作斗争,包括隐私问题和高注释费用,阻碍了提取有价值的见解的进展.

研究的目的:

  • 开发和评估一个新的框架,利用大语言模型 (LLM) 来增强数据,以克服信息提取任务的标记临床文件的稀缺性.
  • 通过利用LLM生成,上下文准确和结构保存的增强数据来提高临床信息提取模型的性能.

主要方法:

  • 开发了一个新的框架,将LLMs用于数据增强与适应的BERT模型用于临床信息提取.
  • 该框架在临床笔记段内编码实体和关系信息,使LLM能够在保持结构完整的同时生成多种增强.
  • 一个基于细分的BERT模型,包括全球背景的BiLSTM,在增强数据上进行训练,以克服序列长度的限制.

主要成果:

  • 拟议的框架显示了公开和专有临床数据集的显著性能改进.
  • 数据增强方法有效地解决了临床信息提取中数据稀缺的挑战.
  • 与BiLSTM集成的基于细分的BERT模型显示了处理临床文本的增强功能.

结论:

  • 这种新的框架通过利用基于LLM的数据增强,有效地解决了临床信息提取中的数据稀缺问题.
  • 该方法显示了通过提高NER和RE任务的准确性和效率来推进临床研究和应用的巨大潜力.
  • 该方法提供了一个可扩展的解决方案,用于在生物医学领域生成高质量的培训数据,克服隐私和成本障碍.