胃食管反流病诊疗新进展
Chinese Journal of Bases and Clinics in General Surgery（2020）
Abstract
胃食管反流病(gastroesophageal reflux disease,GERD)是由胃内容物反流入食管或以上部位,进入口腔(包括咽部)或肺引起的症状或并发症[1].GERD患者在全球分布较为广泛,近年来随着我国人民生活水平的提高,GERD发病率也呈迅速上升趋势,同时对GERD的认识也在不断深入,发现越来越多的疾病与之相关.若GERD得不到有效的控制,轻则对患者生活质量产生不良影响,重则导致严重的并发症甚至致命,因此,对GERD合理诊治具有重要意义.笔者现对GERD的症状、诊断方法和治疗做一总结.
More求助PDF
上传PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Related Papers
Pharmacology and Clinics of Chinese Materia Medica 2021
被引用1
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper