Personalized federated learning for in-hospital mortality prediction of multi-center ICU
Federated learning (FL), as a paradigm for addressing challenges of machine learning (ML) to be applied in private distributed data provides a novel and promising scheme to promote ML in multiple independently distributed healthcare institutions. However, the non-IID and unbalanced nature of the dat...
Saved in:
Main Authors: | Deng, Ting, Hamdan, Hazlina, Yaakob, Razali, Kasmiran, Khairul Azhar |
---|---|
Format: | Article |
Published: |
Institute of Electrical and Electronics Engineers
2023
|
Online Access: | http://psasir.upm.edu.my/id/eprint/109394/ https://ieeexplore.ieee.org/document/10034741 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genetic prediction of ICU hospitalization and mortality in COVID-19 patients using artificial neural networks
by: Asteris, Panagiotis G., et al.
Published: (2022) -
Detection of facial changes for hospital ICU patients
by: Muhammad Naufal, Mansor, et al.
Published: (2010) -
Sepsis mortality score using multi-marker approach for the prediction of mortality in septic critically ill patients
by: Wan Muhd Shukeri, Wan Fadzlina, et al.
Published: (2017) -
Sepsis mortality score for the prediction of mortality in septic patients
by: Wan Mohd Shukeri, Wan Fadzlina, et al.
Published: (2018) -
Predicting acute myocardial infarction (AMI) 30-days mortality: Using standardised mortality ratio (SMR) as the hospital performance measure
by: Kamarudin, Mohd Kamarulariffin, et al.
Published: (2022)