AIMC Topic: Sepsis

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An attention based deep learning model of clinical events in the intensive care unit.

PloS one Feb 13, 2019
This study trained long short-term memory (LSTM) recurrent neural networks (RNNs) incorporating an attention mechanism to predict daily sepsis, myocardial infarction (MI), and vancomycin antibiotic administration over two week patient ICU courses in ...
Humans Anti-Bacterial Agents Vancomycin Deep Learning Sepsis Myocardial Infarction Models, Biological Retrospective Studies Intensive Care Units Clinical Decision-Making Diagnosis, Computer-Assisted
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Improving Prediction Performance Using Hierarchical Analysis of Real-Time Data: A Sepsis Case Study.

IEEE journal of biomedical and health informatics Jan 23, 2019
This paper presents a novel method for hierarchical analysis of machine learning algorithms to improve predictions of at risk patients, thus further enabling prompt therapy. Specifically, we develop a multi-layer machine learning approach to analyze ...
Humans Predictive Value of Tests Machine Learning Early Diagnosis Diagnosis, Computer-Assisted Sepsis Big Data Systemic Inflammatory Response Syndrome Models, Statistical
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Development and Evaluation of a Machine Learning Model for the Early Identification of Patients at Risk for Sepsis.

Annals of emergency medicine Jan 17, 2019
STUDY OBJECTIVE: The Third International Consensus Definitions (Sepsis-3) Task Force recommended the use of the quick Sequential [Sepsis-related] Organ Failure Assessment (qSOFA) score to screen patients for sepsis outside of the ICU. However, subseq...
Retrospective Studies Female Aged Sensitivity and Specificity Humans Machine Learning Male Early Diagnosis Middle Aged Lactic Acid Severity of Illness Index Organ Dysfunction Scores Sepsis Hospitals, Urban
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Role of interleukin-3 as a prognostic marker in septic patients.

Revista Brasileira de terapia intensiva Jan 10, 2019
OBJECTIVE: To evaluate the accuracy of IL-3 to predict the outcome of septic patients.
Shock, Septic Prognosis Middle Aged Aged Predictive Value of Tests Humans Intensive Care Units Sepsis Interleukin-3 Prospective Studies Adult Female Cohort Studies Sensitivity and Specificity Reproducibility of Results Hospital Mortality Male
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Prediction of sepsis patients using machine learning approach: A meta-analysis.

Computer methods and programs in biomedicine Dec 26, 2018
STUDY OBJECTIVE: Sepsis is a common and major health crisis in hospitals globally. An innovative and feasible tool for predicting sepsis remains elusive. However, early and accurate prediction of sepsis could help physicians with proper treatments an...
Humans Sepsis Machine Learning Area Under Curve Algorithms Forecasting
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Serum Procalcitonin and Presepsin Levels in Patients with Generalized Pustular Psoriasis.

Disease markers Dec 16, 2018
Patients with generalized pustular psoriasis (GPP) often present with symptoms that must be differentiated from sepsis. Procalcitonin (PCT) and presepsin (P-SEP) are widely used as biomarkers for sepsis; therefore, we examined the serum PCT and P-SEP...
Lipopolysaccharide Receptors Humans Neutrophils Psoriasis Adult Procalcitonin Male Peptide Fragments Middle Aged Female Sepsis Aged Aged, 80 and over Young Adult
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A minimal set of physiomarkers in continuous high frequency data streams predict adult sepsis onset earlier.

International journal of medical informatics Dec 10, 2018
PURPOSE: Sepsis is a life-threatening condition with high mortality rates and expensive treatment costs. To improve short- and long-term outcomes, it is critical to detect at-risk sepsis patients at an early stage.
Young Adult Adult Male Cardiovascular Diseases Intensive Care Units Female Aged Aged, 80 and over Heart Rate Models, Cardiovascular Middle Aged Sepsis Adolescent Blood Pressure Humans Machine Learning Algorithms Biomarkers Retrospective Studies Critical Illness
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Association Between Early Intravenous Fluids Provided by Paramedics and Subsequent In-Hospital Mortality Among Patients With Sepsis.

JAMA network open Dec 7, 2018
IMPORTANCE: Early administration of intravenous fluids is recommended for all patients with sepsis, but the association of this treatment with mortality may depend on the patient's initial blood pressure.
Aged, 80 and over Male Middle Aged Sepsis Cohort Studies Emergency Medical Services Blood Pressure Fluid Therapy Humans Female Aged
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Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.

AMIA ... Annual Symposium proceedings. AMIA Symposium Dec 5, 2018
Sepsis is the leading cause of mortality in the ICU. It is challenging to manage because individual patients respond differently to treatment. Thus, tailoring treatment to the individual patient is essential for the best outcomes. In this paper, we t...
Vasoconstrictor Agents Medical History Taking Observation Humans Deep Learning Machine Learning Sepsis Retrospective Studies Infusions, Intravenous Intensive Care Units Fluid Therapy
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Machine learning in critical care: state-of-the-art and a sepsis case study.

Biomedical engineering online Nov 20, 2018
BACKGROUND: Like other scientific fields, such as cosmology, high-energy physics, or even the life sciences, medicine and healthcare face the challenge of an extremely quick transformation into data-driven sciences. This challenge entails the dauntin...
Medical Informatics Computer Graphics Humans Artificial Intelligence Sepsis Machine Learning Prospective Studies Probability Software Prognosis Critical Care Data Analysis Intensive Care Units Expert Systems Reproducibility of Results
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