Skip to main content
Feedback to SSRN
Feedback
(required)
Email
(required)
Submit
Lei Wang
Heal Sci Technology Co., Ltd
Learn more about SSRN Profiles
SCHOLARLY PAPERS
1
DOWNLOADS
69
TOTAL CITATIONS
0
Feedback
Scholarly Papers (1)
Sort by:
Paper Title, A-Z
Paper Title, Z-A
Author Name, A-Z
Author Name, Z-A
Date Posted, Ascending
Date Posted, Descending
Downloads, Ascending
Downloads, Descending
Citations, Ascending
Citations, Descending
Actions:
Email selected abstracts
View:
Selected
Original List
All Versions
Hide All Versions
All Abstracts
Hide All Abstracts
(Rank)
1.
Interpretable Machine-Learning Model for Real-Time, Clustered Risk Factor Analysis of Sepsis and Septic Death in Critical Care
Number of pages: 27
Posted: 15 Nov 2022
Zhengyu Jiang
,
Lulong Bo
,
Yan Xie
, Lei Wang,
Jianping Cao
,
Ying Yao
,
Wenbin Lu
,
Xiaoming Deng
,
Tao Yang
and
Jinjun Bian
Naval Medical University - Changhai Hospital, Government of the People's Republic of China - Department of Anesthesiology, Heal Sci Technology Co., Ltd, Heal Sci Technology Co., Ltd, Naval Medical University (SMMU), Naval Medical University (SMMU), Naval Medical University - Faculty of Anesthesiology, Government of the People's Republic of China - Changhai Hospital, Naval Medical University - Changhai Hospital and Naval Medical University - Faculty of Anesthesiology
Downloads
69
(730,018)
View PDF
Download
Abstract:
Artificial Intelligence, Intensive care units, Sepsis, Risk factors, Clinical interpretability
Feedback
