Chrome Extension
WeChat Mini Program
Use on ChatGLM
VIPCreated with Sketch.

    • Predictors for Aki in a Cardiac Surgery Population Undergoing Cardio-Pulmonary Bypass

    F Ramakers, Q Swennen,V Pennemans,J Penders,M Vander Laenen,W Boer

    Intensive care medicine experimental（2015）

    Intensive Care and Anaesthesiology | Biomedical Research Institute

    Cited 1|Views12
    Abstract
    In cardiac surgery involving cardio-pulmonary bypass, AKI is a relatively common diagnosis. In recent years a number of new biomarkers have been undergoing validation in this clinical setting. It is thought that earlier detection of AKI will offer opportunities for new therapeutic interventions
    More
    Translated text
    Key words
    Renal Insufficiency,Urine Output,Baseline Patient,Common Diagnosis,Kidney Dysfunction
    PDF
    View via Publisher
    Bibtex
    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
    Try using models to generate summary,it takes about 60s
    Must-Reading Tree
    Example
    Generate MRT to find the research sequence of this paper
    Related Papers
    Aki Associated with Cardiac Surgery
    Robert H. Thiele,James M. Isbell,Mitchell H. Rosner
    2015

    被引用246 | 浏览

    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
    【要点】：本文研究了在心脏手术中使用心肺旁路的人群中急性肾损伤（AKI）的预测因子，并验证了新型生物标志物的有效性，旨在实现AKI的早期发现，从而提供新的治疗干预机会。
    

    【方法】：作者通过分析患者的临床数据和生物标志物，确定与AKI发展相关的预测因子。
    

    【实验】：研究使用了特定的心脏手术患者数据集，具体数据集名称未在摘要中提及，实验结果表明新型生物标志物可用于预测AKI的发生。
    去 AI 文献库 对话