LSD600:第一个生物医学摘要集,注释了生活方式与疾病的关系
Esmaeil Nourani1,2, Evangelia-Mantelena Makri1,3, Xiqing Mao1
1Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3, Copenhagen 2200, Denmark.
研究人员开发了LSD600,这是第一个提取生活方式因素与疾病关系的集体. 一个训练有素的RoBERTa模型获得了高F分,证明了它对结构化健康知识发现的实用性.
科学领域:
- 生物医学信息学 生物医学信息学
- 自然语言处理自然语言处理.
- 计算生物学 计算生物学
背景情况:
- 生活方式因素显著影响疾病的发展和管理.
- 目前的方法缺乏复杂的复杂性,无法从科学文献中提取和分类复杂的生活方式因素-疾病关系.
- 对这些关系的结构化知识库对于推进健康研究至关重要.
研究的目的:
- 介绍LSD600,这是第一个针对生活方式因子-疾病关系提取的专业集体.
- 开发和评估一个全面的关系提取系统,以识别特定类型的生活方式因素与疾病的关联.
- 为了促进现有知识的整合到一个结构化,可访问的格式.
主要方法:
- 创建LSD600集体,包含600个摘要,其中有1900个病症和生活方式因素之间的注释关系.
- 在LSD600体上训练一个RoBERTa模型,用于多标签关系提取.
- 在持有测试集和外部数据集 (营养疾病,食品疾病) 上评估模型的性能.
主要成果:
- LSD600集体包括八种类型的1900种关系,连接5027种疾病和6930种生活方式因素实体.
- 在LSD600上训练的RoBERTa模型在多标签关系提取任务中获得了68.5%的F分数.
- 经过训练的模型在外部数据集上表现出强的表现,F分数为70.7%和80.7%.
结论:
- LSD600是推进生活方式因素-疾病关系提取的宝贵资源.
- 开发的关系提取系统显示出在健康研究中发现知识的巨大潜力.
- 这项工作解决了关于生活方式因素和疾病的知识结构和利用的关键差距.
更多相关视频
09:20Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
Published on: February 23, 2019
07:50A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
相关概念视频
Lifestyle Factors and Health
Benefits of Physical Activity
Physical activity, whether through structured exercise or casual activities like walking, biking, or dancing, is a cornerstone of a...
Lipid-derived Compounds in the Human Body
Fat-soluble Vitamins
Fat-soluble vitamins, including vitamins A, D, E, and K, are required in minimal quantities, but their deficiencies can lead to severely abnormal physiological conditions. For example, vitamin A deficiency can cause night blindness, dry skin,...
Models of Health Promotion and Illness Prevention II
The agent-host-environment model states that disease results...
Classification of Illness
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...
Health Literacy
Assessment of the Cardiovascular System I: Subjective Data
Initial Enquiry
Ask the patient about their primary concern and thoroughly explore all reported symptoms.
Medical History
Investigate past illnesses affecting the cardiovascular system, such as angina, anemia, rheumatic fever, congenital heart disease, stroke, thrombophlebitis, dysrhythmias, varicosities
Inquire about symptoms...
