Clinical phenotype of ARDS based on K-means cluster analysis: A study from the eICU database
Purpose: To explore the characteristics of the clinical phenotype of ARDS based on Machine Learning. Methods: This is a study on Machine Learning. Screened cases of acute respiratory distress syndrome (ARDS) in the eICU database collected basic information in the cases and clinical data on the Day 1...
Saved in:
| Main Authors: | Wei Zhang, Linlin Wu, Shucheng Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
|
| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024152292 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Clustering Library Loan Books Using K-Means Clustering
by: Mawar Indah Tanjung, et al.
Published: (2025-03-01) -
Benchmarking validity indices for evolutionary K-means clustering performance
by: Abiodun M. Ikotun, et al.
Published: (2025-07-01) -
A Improving House Price Clustering Results with K-means through the Implementation of One-hot Encoding Pre-processing Technique
by: Vicka Rizqi Maulani, et al.
Published: (2025-06-01) -
Improvement of Differential Privacy K-means Clustering Algorithm
by: GUO Rumin, et al.
Published: (2024-08-01) -
Penerapan Algoritma K-Means Clustering Untuk Mengetahui Kemampuan Karyawan IT
by: Dina Zakiyah, et al.
Published: (2022-01-01)