ICD-10使用西班牙语文本分类模型的瘤位置 电子健康记录
IEEE journal of biomedical and health informatics
|October 8, 2025
概括
从西班牙电子健康记录 (EHR) 中提取初级瘤位置对于瘤学研究至关重要. 传统的机器学习模型,如XGBoost和SVM,在从非结构化临床文本分类瘤位置方面取得了高准确性.
科学领域:
- 医疗信息学 医疗信息学
- 自然语言处理自然语言处理.
- 瘤学研究研究
背景情况:
- 西班牙医疗保健系统将大量的临床数据作为电子健康记录 (EHR) 中的非结构化文本存储.
- 从EHR中自动提取关键信息,例如初级瘤位置,对于临床分析和现实世界证据 (RWE) 研究至关重要.
- 瘤定位数据对于瘤学研究至关重要,并且通常被编码在第10版国际疾病分类 (ICD-10) 中.
研究的目的:
- 探索西班牙医疗文件的分类,以提取初级瘤位置.
- 评估各种自然语言处理 (NLP) 方法的性能.
主要方法:
- 利用了23,704个真正的临床电子健康记录的私人数据库.
- 开发了四种NLP方法:传统的机器学习 (ML),集合ML,反复神经网络 (RNN) 和基于变压器的模型.
- 将瘤的位置分为12个主要器官分组和29个特定位置.
主要成果:
- 传统的ML模型 (XGBoost,SVM) 的表现优于RNN和变压器,F1得分为0.938的12类和0.838的29类分类.
- 预训练的RoBERTa-Base-Biomed模型在29个位置问题上获得了0.808的F1得分.
- 变压器模型在外部体上展示了优越的概括能力.
结论:
- 传统的ML模型对于从西班牙EHR中提取初级瘤位置非常有效.
- 在非结构化的临床文本中,NLP技术,特别是传统的ML技术,为解锁有价值的瘤学数据提供了强大的解决方案.
- 用变压器模型进行进一步的研究可能会增强对各种临床数据集的概括性.
更多相关视频
07:15Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
Published on: August 16, 2020
7.4K
04:09Predicting 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
相关概念视频
Classification of Illness
8.6K
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...
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...
8.6K
Classification of Epithelial Tissues: Overview
19.6K
Epithelial tissues are classified according to the shape of the cells and the number of cell layers formed. Cell shapes can be squamous (flattened and thin), cuboidal (square-like, as wide as it is tall), or columnar (rectangular, taller than it is wide). Additionally, the nucleus shape helps identify the type of epithelial cells. Squamous cells have flattened disc-shaped nuclei, cuboidal cells have spherical nuclei, and columnar cells have elongated nuclei.
Based on the number of cell layers,...
Based on the number of cell layers,...
19.6K
Classification of Epithelial Tissues: Glandular Epithelium
11.7K
The glandular epithelium is made of one or more epithelial cells modified to synthesize and secrete chemical substances. Glandular epithelia can be classified based on cell number. Unicellular glands have individual secretory cells scattered across the epithelial monolayer. In contrast, multicellular glands consist of a hollow tubular duct attached to the cluster of secretory cells located in the deep pockets.
Multicellular glands are formed during early development when epithelial budding...
Multicellular glands are formed during early development when epithelial budding...
11.7K
Classification of Epithelial Tissues: Stratified Epithelium
12.4K
Stratified epithelium consists of several stacked layers of cells. They provide the durability to withstand constant physical and chemical attacks. Stratified epithelium is named after the shape of the most apical layer of cells. Stratified squamous epithelium is the most common type found in the human body. In this tissue, the apical cells are squamous, whereas the basal layer contains either columnar or cuboidal cells. The basal cells divide to form new daughter cells, which gradually become...
12.4K
The Tumor Microenvironment
7.6K
Every normal cell or tissue is embedded in a complex local environment called stroma, consisting of different cell types, a basal membrane, and blood vessels. As normal cells mutate and develop into cancer cells, their local environment also changes to allow cancer progression. The tumor microenvironment (TME) consists of a complex cellular matrix of stromal cells and the developing tumor. The cross-talk between cancer cells and surrounding stromal cells is critical to disrupt normal tissue...
7.6K
Classification of Leukocytes
4.9K
Leukocytes are classified into two groups based on the presence or absence of cytoplasmic granules. Granular leukocytes, which contain granules, belong to the myeloid lineage and are divided into three subtypes: neutrophils, eosinophils, and basophils. These cells are roughly spherical and characterized by the granules in their cytoplasm.
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
Neutrophils are the most abundant type of granular leukocytes, comprising 50-70% of all leukocytes. They feature small, evenly distributed granules and a...
4.9K
