Entropy-Based Time Window Features Extraction for Machine Learning to Predict Acute Kidney Injury in ICU

Entropy-Based Time Window Features Extraction for Machine Learning to Predict Acute Kidney Injury in ICU

Acute kidney injury (AKI) refers to rapid decline of kidney function and is manifested by decreasing urine output or abnormal blood test (elevated serum creatinine). Electronic health records (EHRs) is fundamental for clinicians and machine learning algorithms to predict the clinical outcome of pati...

Full description

Bibliographic Details
Main Authors: Chun-Te Huang, Rong-Ching Chang, Yi-Lu Tsai, Kai-Chih Pai, Tsai-Jung Wang, Chia-Tien Hsu, Cheng-Hsu Chen, Chien-Chung Huang, Min-Shian Wang, Lun-Chi Chen, Ruey-Kai Sheu, Chieh-Liang Wu, Chun-Ming Lai
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Applied Sciences
Subjects:
acute kidney injury (AKI)
machine learning
entropy
Online Access:https://www.mdpi.com/2076-3417/11/14/6364

Similar Items

Similar Items