An explainable knowledge distillation method with XGBoost for ICU mortality prediction
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Computer Science Applications
Reference47 articles.
1. Outcomes prediction in longitudinal data: Study designs evaluation, use case in ICU acquired sepsis;Schvetz;J. Biomed. Inform.,2021
2. Mining electronic health records: towards better research applications and clinical care;Jensen;Nature Rev. Genet.,2012
3. Benchmark of deep learning models on large healthcare MIMIC datasets;Purushotham;J. Biomed. Inform.,2017
4. Predicting length of stay and mortality among hospitalized patients with type 2 diabetes mellitus and hypertension;Barsasella;Int. J. Med. Inf.,2021
5. Explainable artificial intelligence model to predict acute critical illness from electronic health records;Lauritsen;Nature Commun.,2020
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis;Health Care Management Science;2024-05-21
2. Accurate Explanation Model for Image Classifiers using Class Association Embedding;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13
3. Optimization on selecting XGBoost hyperparameters using meta‐learning;Expert Systems;2024-04-25
4. Characteristics and risk factors for invasive fungal infection in hospitalized patients with acute-on-chronic hepatitis B liver failure: a retrospective cohort study from 2010 to 2023;Frontiers in Microbiology;2024-03-27
5. An interpretable automated feature engineering framework for improving logistic regression;Applied Soft Computing;2024-03
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3