A computational pipeline for data augmentation towards the improvement of disease classification and risk stratification models: A case study in two clinical domains-Reference-Cited by-同舟云学术

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

Published:2021-07 Issue: Volume:134 Page:104520
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Pezoulas Vasileios C.,Grigoriadis Grigoris I.,Gkois George,Tachos Nikolaos S.,Smole Tim,Bosnić Zoran,Pičulin Matej,Olivotto Iacopo,Barlocco Fausto,Robnik-Šikonja Marko,Jakovljevic Djordje G.,Goules Andreas,Tzioufas Athanasios G.,Fotiadis Dimitrios I.

Funder

Horizon 2020

European Commission

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference29 articles.

1. In silico clinical trials: how computer simulation will transform the biomedical industry;Viceconti;International Journal of Clinical Trials,2016

2. Autoaugment: learning augmentation strategies from data;Cubuk,2019

3. Simulation of correlated continuous and categorical variables using a single multivariate distribution;Tannenbaum;J. Pharmacokinet. Pharmacodyn.,2006

4. Generating virtual patients by multivariate and discrete Re-sampling techniques;Teutonico;Pharmaceut. Res.,2015

5. Efficient generation and selection of virtual populations in quantitative systems pharmacology models: generation and selection of virtual populations;Allen;CPT Pharmacometrics Syst. Pharmacol.,2016

Cited by 11 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. Synthetic data generation methods in healthcare: A review on open-source tools and methods;Computational and Structural Biotechnology Journal;2024-12

2. Can I trust my fake data – A comprehensive quality assessment framework for synthetic tabular data in healthcare;International Journal of Medical Informatics;2024-05

3. CADUCEO: A Platform to Support Federated Healthcare Facilities through Artificial Intelligence;Healthcare;2023-08-04

4. Boosting the performance of MALT lymphoma classification in patients with primary Sjögren’s Syndrome through data augmentation: a case study;2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2023-07-24

5. Future Trends;Multiscale Modelling in Biomedical Engineering;2023-05-04