用于数据输入的综合多模态数据建模

IF 26.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Nature Biomedical Engineering Pub Date : 2024-12-23 DOI:10.1038/s41551-024-01324-1

Francisco Carrillo-Perez, Marija Pizurica, Kathleen Marchal, Olivier Gevaert

引用次数: 0

摘要

基础模型可以被有利地利用来估计多模态生物医学数据集中的缺失数据并生成真实的合成样本。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Synthetic multimodal data modelling for data imputation

查看原文本刊更多论文

Synthetic multimodal data modelling for data imputation

Foundation models can be advantageously harnessed to estimate missing data in multimodal biomedical datasets and to generate realistic synthetic samples.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Nature Biomedical Engineering Medicine-Medicine (miscellaneous)

CiteScore

45.30

自引率

1.10%

发文量

138

期刊介绍： Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.