Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit-Reference-Cited by-同舟云学术

Improving mixed-integer temporal modeling by generating synthetic data using conditional generative adversarial networks: A case study of fluid overload prediction in the intensive care unit

Published:2024-01 Issue: Volume:168 Page:107749
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Rafiei Alireza,Ghiasi Rad Milad^ORCID,Sikora Andrea^ORCID,Kamaleswaran Rishikesan^ORCID

Funder

Agency for Healthcare Research and Quality

National Center for Advancing Translational Sciences

North Carolina Translational and Clinical Sciences Institute, University of North Carolina at Chapel Hill

National Institutes of Health

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference47 articles.

1. Development of machine learning models to validate a medication regimen complexity scoring tool for critically ill patients;Al-Mamun;Ann. Pharmacother.,2021

2. Development and validation of a medication regimen complexity scoring tool for critically ill patients;Gwynn;Am. J. Health Syst. Pharm.,2019

3. Medication regimen complexity is associated with pharmacist interventions and drug‐drug interactions: a use of the novel MRC‐ICU scoring tool;Newsome;J. Am. College Clinic. Pharm.,2020

4. Medication regimen complexity score as an indicator of fluid balance in critically ill patients;Olney;J. Pharm. Pract.,2022

5. Impact of pharmacists to improve patient care in the critically ill: a large multicenter analysis using meaningful metrics with the Medication Regimen Complexity-ICU (MRC-ICU) score;Sikora;Crit. Care Med.,2022

Cited by 5 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. Generative AI for Threat Intelligence and Information Sharing;Advances in Digital Crime, Forensics, and Cyber Terrorism;2024-09-13

2. Meta-learning in Healthcare: A Survey;SN Computer Science;2024-08-12

3. Exploring Innovative Approaches to Synthetic Tabular Data Generation;Electronics;2024-05-17

4. A common data model for the standardization of intensive care unit medication features;JAMIA Open;2024-04-08

5. Acute ischemic stroke prediction and predictive factors analysis using hematological indicators in elderly hypertensives post-transient ischemic attack;Scientific Reports;2024-01-06