Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis
References
Index Terms
- Frequent temporal patterns of physiological and biological biomarkers and their evolution in sepsis
Recommendations
Network-Based Modeling of Sepsis: Quantification and Evaluation of Simultaneity of Organ Dysfunctions
BCB '19: Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health InformaticsIt is shown that appropriate therapeutic management at early stages of sepsis are crucial for preventing further deterioration and irreversible organ damage. Although previous studies considered the cellular and physiological responses as the components ...
Sepsis prediction in intensive care unit based on genetic feature optimization and stacked deep ensemble learning
AbstractSepsis is a life-threatening disease that is associated with organ dysfunction. It occurs due to the body’s dysregulated response to infection. It is difficult to identify sepsis in its early stages, this delay in identification has a dramatic ...
Temporal Probabilistic Profiles for Sepsis Prediction in the ICU
KDD '19: Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data MiningSepsis is a condition caused by the body's overwhelming and life-threatening response to infection, which can lead to tissue damage, organ failure, and finally death. Today, sepsis is one of the leading causes of mortality among populations in intensive ...
Comments
Information & Contributors
Information
Published In
Publisher
Elsevier Science Publishers Ltd.
United Kingdom
Publication History
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
View options
Get Access
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in