Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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

Transcriptomic-based molecular classification of ampullary adenocarcinoma.

Cancer letters·2026

Same author

Correction: Association between systemic immune-inflammation index(SII) and all-cause and cardiovascular mortality in heart failure patients: a single-center retrospective analysis.

Frontiers in cardiovascular medicine·2026

Same author

DispFormer: A dual attention transformer with denoising for biomedical irregular time series classification.

Journal of biomedical informatics·2026

Same author

Association between systemic immune-inflammation index(SII) and all-cause and cardiovascular mortality in heart failure patients: a single-center retrospective analysis.

Frontiers in cardiovascular medicine·2026

Same author

A temporal deep learning algorithm for prediction of extubation failures in critical care patients.

Journal of clinical monitoring and computing·2026

Same author

First-line nanoparticle polymeric micellar paclitaxel with gemcitabine in metastatic pancreatic cancer: a single-arm, prospective, and exploratory study.

Gastroenterology report·2026

Same journal

Causal intervention validation of gene regulatory signals in scGPT.

Journal of biomedical informatics·2026

Same journal

CoAff-DTI: Fine-grained drug-target interaction prediction using pre-trained language models and affinity-guided mechanisms.

Journal of biomedical informatics·2026

Same journal

Evaluation of temporal preservation in synthetic longitudinal patient data.

Journal of biomedical informatics·2026

Same journal

ARKE: An ontology-driven framework for automated mapping of local radiology procedure terms to the LOINC-RadLex playbook using large language model.

Journal of biomedical informatics·2026

Same journal

A validation-driven training controller for cross-lingual biomedical NER via reinforcement learning-based adaptive loss weighting.

Journal of biomedical informatics·2026

Same journal

ASP-HR: An Adaptive Spatial Perception and Hierarchical Reasoning mechanism for document-level biomedical relation extraction.

Journal of biomedical informatics·2026

查看所有相关文章

Search research articles

相关实验视频

Updated: Jul 4, 2025

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

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

Published on: September 20, 2018

CMBEE:一个基于约束的多任务学习框架,用于生物医学事件提取.

Jingyue Hu¹, Buzhou Tang², Nan Lyu³

¹Department of Computer Science, Harbin Institute of Technology, Shenzhen, 518055, China.

Journal of biomedical informatics

|January 25, 2024

概括

此摘要是机器生成的。

这项研究引入了生物医学事件提取的新框架,通过利用事件约束信息来改善复杂的嵌套事件的识别. 这种方法提高了关键生物医学公司的性能.

关键词:

生物医学事件提取事件约束信息事件约束信息多任务学习多任务学习

更多相关视频

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

相关实验视频

Last Updated: Jul 4, 2025

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

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

Published on: September 20, 2018

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells

Published on: June 23, 2023

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

科学领域:

生物医学自然语言处理
计算生物学计算生物学
生物信息学是一种生物信息学.

背景情况:

事件提取在NLP中至关重要,但由于复杂的语义关系,生物医学嵌套事件带来了挑战.
现有的方法往往忽略了这些嵌套的生物医学事件之间的关键绑定连接.

研究的目的:

开发一个统一的框架,用于联合生物医学事件触发器和参数提取.
通过利用事件约束信息来提高嵌套生物医学事件提取的性能.

主要方法:

一个多任务学习框架 (CMBEE) 集成事件约束信息使用N-事件模式.
利用注意力和封闭机制来融合多个元组信息.
采用局部和全球约束信息融合方法来捕捉事件间的连接.

主要成果:

在多层次事件提取生物医学 (MLEE) 语料库中获得最高的F1分数.
在Genia事件 (GE 13) 库中表现出良好的表现.
验证了模拟事件模式和约束的有效性,用于复杂事件提取.

结论:

模拟事件模式和约束对于复杂的生物医学事件提取是有效的.
拟议的融合策略增强了多事件提取任务中的语义信息的表达.