A comparative analysis of sepsis digital phenotyping methods
Abstract
References
Index Terms
- A comparative analysis of sepsis digital phenotyping methods
Recommendations
An explainable machine learning algorithm for risk factor analysis of in-hospital mortality in sepsis survivors with ICU readmission
Highlights- Comprehensive analysis of risk factors of sepsis survivors during ICU readmission within one year.
- Application of machine learning algorithm and SHAP value based on MIMIC-III database to visualize the quantitative relationship between ...
Abstract Background and objectivePatients who survive sepsis in the intensive care unit (ICU) (sepsis survivors) have an increased risk of long-term mortality and ICU readmission. We aim to identify the risk factors for in-hospital mortality in sepsis ...
Pneumonia and Sepsis Trends with Watson Analytics
ICBDE '19: Proceedings of the 2019 International Conference on Big Data and EducationPneumonia and sepsis are two prevalent diseases in Southeast Asia. Pneumonia is a respiratory disease which is often caused by bacteria, viruses, or fungi. The bacteria then inflames air sacs in the lungs, known as alveoli, and blocks the interstitial ...
Severe sepsis mortality prediction with logistic regression over latent factors
Sepsis is one of the main causes of death for non-coronary ICU (Intensive Care Unit) patients and has become the 10th most common cause of death in western societies. This is a transversal condition affecting immunocompromised patients, critically ill ...
Comments
Information & Contributors
Information
Published In
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Short-paper
- Research
- Refereed limited
Conference
Acceptance Rates
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 122Total Downloads
- Downloads (Last 12 months)23
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format