A “smart” Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures-Reference-Cited by-同舟云学术

A “smart” Imputation Approach for Effective Quality Control Across Complex Clinical Data Structures

Published:2022-07-11 Issue: Volume: Page:
ISSN:
Container-title:2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
language:
Short-container-title:

Author:

Pezoulas Vasileios C.¹,Tachos Nikolaos S.¹,Olivotto Iacopo²,Barlocco Fausto²,Fotiadis Dimitrios I.³

Affiliation:

1. Unit of Medical Technology and Intelligent Information Systems, University of Ioannina,Dept. of Materials Science and Engineering,Ioannina,Greece,GR 45110

2. Cardiomyopathy Unit, Careggi University Hospital,Florence,Italy

3. Unit of Medical Technology and Intelligent Information Systems, University of Ioannina, FORTH-IMBB,Dept. of Materials Science and Engineering, Dept. of Biomedical Research,Ioannina,Greece,GR 45110

Funder

Hellenic Foundation for Research and Innovation (HFRI) under the HFRI PhD Fellowship

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9870821/9870822/09871919.pdf?arnumber=9871919

Reference22 articles.

1. Accessible data curation and analytics for international-scale citizen science datasets;murray;ArXiv,2020

2. The Dementias Platform UK (DPUK) Data Portal

3. A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains

4. Medical data quality assessment: On the development of an automated framework for medical data curation

Cited by 1 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. Identify the most appropriate imputation method for handling missing values in clinical structured datasets: a systematic review;BMC Medical Research Methodology;2024-08-28