From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system
出版年份 2013 全文链接
标题
From vital signs to clinical outcomes for patients with sepsis: a machine learning basis for a clinical decision support system
作者
关键词
-
出版物
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
Volume 21, Issue 2, Pages 315-325
出版商
Oxford University Press (OUP)
发表日期
2013-08-20
DOI
10.1136/amiajnl-2013-001815
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Learning Bayesian Networks with thebnlearnRPackage
- (2015) Marco Scutari Journal of Statistical Software
- Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012
- (2013) R. P. Dellinger et al. INTENSIVE CARE MEDICINE
- Unsupervised modeling of cell morphology dynamics for time-lapse microscopy
- (2012) Qing Zhong et al. NATURE METHODS
- Severe sepsis mortality prediction with logistic regression over latent factors
- (2011) Vicent J. Ribas et al. EXPERT SYSTEMS WITH APPLICATIONS
- Surviving the first hours in sepsis: getting the basics right (an intensivist's perspective)
- (2011) R. Daniels JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY
- Cholera: Lessons from Haiti and Beyond
- (2011) Ana A. Weil et al. Current Infectious Disease Reports
- Serum Lactate Is a Better Predictor of Short-Term Mortality When Stratified by C-reactive Protein in Adult Emergency Department Patients Hospitalized for a Suspected Infection
- (2010) Jeffrey P. Green et al. ANNALS OF EMERGENCY MEDICINE
- Bundled care for septic shock: An analysis of clinical trials*
- (2010) Amisha V. Barochia et al. CRITICAL CARE MEDICINE
- A survival benefit of combination antibiotic therapy for serious infections associated with sepsis and septic shock is contingent only on the risk of death: A meta-analytic/meta-regression study
- (2010) Anand Kumar et al. CRITICAL CARE MEDICINE
- The Surviving Sepsis Campaign: results of an international guideline-based performance improvement program targeting severe sepsis
- (2010) Mitchell M. Levy et al. INTENSIVE CARE MEDICINE
- Non-invasive classification of severe sepsis and systemic inflammatory response syndrome using a nonlinear support vector machine: a preliminary study
- (2010) Collin H H Tang et al. PHYSIOLOGICAL MEASUREMENT
- Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis
- (2009) Francesca Rubulotta et al. CRITICAL CARE MEDICINE
- Using hierarchical dynamic Bayesian networks to investigate dynamics of organ failure in patients in the Intensive Care Unit
- (2009) Linda Peelen et al. JOURNAL OF BIOMEDICAL INFORMATICS
- The effect of a quantitative resuscitation strategy on mortality in patients with sepsis: A meta-analysis*
- (2008) Alan E. Jones et al. CRITICAL CARE MEDICINE
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