《Health Data Science》

作品数：81被引量：32H指数：3
导出分析报告
《Health Data Science》
主办单位：北京大学
最新期次：2024年1期更多>>
发文主题：DATAHEALTHIN_CHINAANALYSISKIDNEY更多>>
发文领域：医药卫生自动化与计算机技术语言文字文化科学更多>>
发文基金：国家自然科学基金北京市自然科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Multi-Modal CLIP-Informed Protein Editing
《Health Data Science》2024年第1期1-12,共12页Mingze Yin Hanjing Zhou Yiheng Zhu Miao Lin Yixuan Wu Jialu Wu Hongxia Xu Chang-Yu Hsieh Tingjun Hou Jintai Chen Jian Wu 
supported by the National Natural Science Foundation of China under grant nos.62176231 and 82202984;the Zhejiang Key R&D Program of China under grant no.2023C03053。
Background:Proteins govern most biological functions essential for life,and achieving controllable protein editing has made great advances in probing natural systems,creating therapeutic conjugates,and generating nove...
关键词：GENERATING EDITING FUSED 
The Burden of Type 2 Diabetes in Adolescents and Young Adults in China:A Secondary Analysis from the Global Burden of Disease Study 2021
《Health Data Science》2024年第1期13-24,共12页Junting Yang Siwei Deng Houyu Zhao Feng Sun Xiantong Zou Linong Ji Siyan Zhan 
supported by the National Natural Science Foundation of China(grant nos.82330107,72361127500,and 82204175).
Background:Early-onset type 2 diabetes(T2D)is an increasingly serious public health issue,particularly in China.This study aimed to analyze the characteristics of disease burden,secular trend,and attributable risk fac...
关键词：PREVENTION YOUNGER POLLUTION 
Erratum to“Detection of Patients at Risk of Multidrug-Resistant Enterobacteriaceae Infection Using Graph Neural Networks:A Retrospective Study”
《Health Data Science》2024年第1期25-26,共2页Racha Gouareb Alban Bornet Dimitrios Proios Sónia Gonçalves Pereira Douglas Teodoro 
In the Research Article“Detection of patients at risk of multidrugresistant Enterobacteriaceae infection using graph neural networks:A retrospective study”,Table 2 was incorrectly duplicated[1].TTe correct Table 1 i...
关键词：networks NEURAL 
Moving Beyond Medical Statistics:A Systematic Review on Missing Data Handling in Electronic Health Records
《Health Data Science》2024年第1期27-44,共18页Wenhui Ren Zheng Liu Yanqiu Wu Zhilong Zhang Shenda Hong Huixin Liu the Missing Data in Electronic health Records(MINDER)Group 
supported by the Research and Development Fund of Peking University People’s Hospital(Missing Data in Electronic Health Records program[MINDER])(RDX2023-11);the National Natural Science Foundation of China(No.62102008 and No.81602939).
Background:Missing data in electronic health records(EHRs)presents signiffcant challenges in medical studies.Many methods have been proposed,but uncertainty exists regarding the current state of missing data addressin...
关键词：MISSING sectional BEYOND 
Federated Learning in Healthcare:A Benchmark Comparison of Engineering and Statistical Approaches for Structured Data Analysis
《Health Data Science》2024年第1期45-57,共13页Siqi Li Di Miao Qiming Wu Chuan Hong Danny D’Agostino Xin Li Yilin Ning Yuqing Shang Ziwen Wang Molei Liu Huazhu Fu Marcus Eng Hock Ong Hamed Haddadi Nan Liu 
supported by the Duke/Duke-NUS Collaboration grant.
Background:Federated learning(FL)holds promise for safeguarding data privacy in healthcare collaborations.While the term“FL”was originally coined by the engineering community,the statistical field has also developed...
关键词：holds utilized slightly 
Robust Meta-Model for Predicting the Likelihood of Receiving Blood Transfusion in Non-traumatic Intensive Care Unit Patients
《Health Data Science》2024年第1期58-66,共9页Alireza Raffei Ronald Moore Tilendra Choudhary Curtis Marshall Geoffrey Smith John D.Roback Ravi M.Patel Cassandra D.Josephson Rishikesan Kamaleswaran 
supported by the National Institutes of Health under Award Numbers R01GM139967,R21GM151703,and R21GM148931.
Background:Blood transfusions,crucial in managing anemia and coagulopathy in intensive care unit(ICU)settings,require accurate prediction for effective resource allocation and patient risk assessment.However,existing ...
关键词：BLOOD TRANSFUSION annually 
Survival Disparities among Cancer Patients Based on Mobility Patterns:A Population-Based Study
《Health Data Science》2024年第1期67-76,共10页Fengyu Wen Yike Zhang Chao Yang Pengfei Li Qing Wang Luxia Zhang 
supported by grants from the National Natural Science Foundation of China(72125009 and 82003529);National Key Research and Development Program of China(2022YFF1203001);National Key R&D Program of the Ministry of Science and Technology of China(2019YFC2005000);Young Elite Scientists Sponsorship Program by CAST(2022QNRC001);Chinese Scientiffc and Technical Innovation Project 2030(2018AAA0102100);CAMS Innovation Fund for Medical Sciences(2019-I2M-5-046),PKU-Baidu Fund(2020BD032);Shandong Natural Science Foundation General Project(ZR202211080088).
Background:Cancer is a major health problem worldwide.A growing number of cancer patients travel to hospitals outside their residential cities due to unbalanced medical resources.We aimed to evaluate the association b...
关键词：CANCER Patients SURVIVAL 
Association of Smoking with Chronic Kidney Disease Stages 3 to 5:A Mendelian Randomization Study
《Health Data Science》2024年第1期77-87,共11页Zhilong Zhang Feifei Zhang Xiaomeng Zhang Lanlan Lu Luxia Zhang 
support is acknowledged from the National Science Fund for Distinguished Young Scholars of China(grant no.72125009);the National Key Research and Development Program of China(grant no.2022YFF1203000)received by L.Z.,the National Natural Science Foundation of China(grant no.82204137);Young Elite Scientists Sponsorship Program by CAST(grant no.2023QNRC001);Peking University Medicine Sailing Program for Young Scholars’Scientiffc&Technological Innovation(grant no.BMU2023YFJHMX014)received by F.Z.
Background:Previous studies suggested that smoking behavior(e.g.,smoking status)was associated with an elevated risk of chronic kidney disease(CKD),yet whether this association is causal remains uncertain.Methods:We u...
关键词：KIDNEY instrument ELEVATED 
Deep Learning in Heart Sound Analysis:From Techniques to Clinical Applications被引量：1
《Health Data Science》2024年第1期88-109,共22页Qinghao Zhao Shijia Geng Boya Wang Yutong Sun Wenchang Nie Baochen Bai Chao Yu Feng Zhang Gongzheng Tang Deyun Zhang Yuxi Zhou Jian Liu Shenda Hong 
supported by the National Natural Science Foundation of China(No.62102008);the Peking University People’s Hospital Scientific Research Development Funds(RDJP2022-39);the Clinical Medicine Plus X-Young Scholars Project of Peking University,and the Fundamental Research Funds for the Central Universities(PKU2024LCXQ030).
Importance:Heart sound auscultation is a routinely used physical examination in clinical practice to identify potential cardiac abnormalities. However, accurate interpretation of heart sounds requires specialized trai...
关键词：DEEP specialized ROUTINE 
Health Co-Beneffts of Environmental Changes in the Context of Carbon Peaking and Carbon Neutrality in China
《Health Data Science》2024年第1期110-121,共12页Feifei Zhang Chao Yang Fulin Wang Pengfei Li Luxia Zhang 
supported by grants from the National Natural Science Foundation of China(72125009,82204137,and 82003529);National Key R&D Program of the Ministry of Science and Technology of China(2022YFF1203001);Young Elite Scientists Sponsorship Program by CAST(2022QNRC001 and 2023QNRC001)。
Importance:Climate change mitigation policies aimed at limiting greenhouse gas(GHG)emissions would bring substantial health co-benefits by directly alleviating climate change or indirectly reducing air pollution.As on...
关键词：POLICY LIMITING attributed 
全选清除导出
共8页<12345678>
检索报告 对象比较 聚类工具 使用帮助 返回顶部