AIMC Topic: Sepsis

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Development of a Bioinformatics Framework for Identification and Validation of Genomic Biomarkers and Key Immunopathology Processes and Controllers in Infectious and Non-infectious Severe Inflammatory Response Syndrome.

Frontiers in immunology Mar 31, 2020
Sepsis is defined as dysregulated host response caused by systemic infection, leading to organ failure. It is a life-threatening condition, often requiring admission to an intensive care unit (ICU). The causative agents and processes involved are mul...
Humans Neural Networks, Computer Computational Biology Genetic Markers Sepsis Systemic Inflammatory Response Syndrome
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A generalizable 29-mRNA neural-network classifier for acute bacterial and viral infections.

Nature communications Mar 4, 2020
Improved identification of bacterial and viral infections would reduce morbidity from sepsis, reduce antibiotic overuse, and lower healthcare costs. Here, we develop a generalizable host-gene-expression-based classifier for acute bacterial and viral ...
Gene Expression Profiling Sepsis Hospital Mortality Adult Male Middle Aged Bacterial Infections Acute Disease Datasets as Topic Host-Pathogen Interactions ROC Curve RNA, Messenger Support Vector Machine Humans Neural Networks, Computer Intensive Care Units Female Aged Aged, 80 and over Virus Diseases
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Early detection of sepsis utilizing deep learning on electronic health record event sequences.

Artificial intelligence in medicine Feb 19, 2020
BACKGROUND: The timeliness of detection of a sepsis incidence in progress is a crucial factor in the outcome for the patient. Machine learning models built from data in electronic health records can be used as an effective tool for improving this tim...
Electronic Health Records Deep Learning Sepsis Humans Machine Learning Retrospective Studies
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Machine learning in infection management using routine electronic health records: tools, techniques, and reporting of future technologies.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Feb 13, 2020
BACKGROUND: Machine learning (ML) is increasingly being used in many areas of health care. Its use in infection management is catching up as identified in a recent review in this journal. We present here a complementary review to this work.
Cross Infection Humans Decision Support Systems, Clinical Machine Learning Urinary Tract Infections Electronic Health Records Surgical Wound Infection Sepsis Algorithms Prognosis
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Short Keynote Paper: Mainstreaming Personalized Healthcare-Transforming Healthcare Through New Era of Artificial Intelligence.

IEEE journal of biomedical and health informatics Feb 10, 2020
Medicine has entered the digital era, driven by data from new modalities, especially genomics and imaging, as well as new sources such as wearables and Internet of Things. As we gain a deeper understanding of the disease biology and how diseases affe...
Sepsis Humans Algorithms Lung Neoplasms Artificial Intelligence Genomics Precision Medicine Medical Informatics Deep Learning
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Clinical management of sepsis can be improved by artificial intelligence: no.

Intensive care medicine Feb 3, 2020
Sepsis Humans Quality of Health Care Decision Support Systems, Clinical Artificial Intelligence Disease Management
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Multicenter validation of a machine-learning algorithm for 48-h all-cause mortality prediction.

Health informatics journal Dec 30, 2019
In order to evaluate mortality predictions based on boosted trees, this retrospective study uses electronic medical record data from three academic health centers for inpatients 18 years or older with at least one observation of each vital sign. Pred...
Algorithms Retrospective Studies Humans Machine Learning Sepsis Hospital Mortality
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Clinical management of sepsis can be improved by artificial intelligence: yes.

Intensive care medicine Dec 13, 2019
Disease Management Artificial Intelligence Sepsis Decision Support Systems, Clinical Humans
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Usefulness of presepsin as diagnostic and prognostic marker of sepsis in daily clinical practice.

Journal of infection in developing countries Nov 30, 2019
INTRODUCTION: Sepsis represents a major cause of morbidity and mortality in critically ill patients. Early diagnosis and appropriate treatment have a crucial influence on survival. The aim of this study was to evaluate the diagnostic and prognostic r...
Sepsis Female APACHE Humans Area Under Curve Lactic Acid Male Biomarkers Peptide Fragments Lipopolysaccharide Receptors Case-Control Studies Prognosis
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Machine Learning Models for Analysis of Vital Signs Dynamics: A Case for Sepsis Onset Prediction.

Journal of healthcare engineering Nov 3, 2019
OBJECTIVE: Achieving accurate prediction of sepsis detection moment based on bedside monitor data in the intensive care unit (ICU). A good clinical outcome is more probable when onset is suspected and treated on time, thus early insight of sepsis ons...
Early Diagnosis Analysis of Variance Vital Signs Algorithms Support Vector Machine Intensive Care Units Area Under Curve Female Models, Biological Diagnosis, Computer-Assisted Humans Adult Sepsis Male Middle Aged Aged Machine Learning Adolescent Case-Control Studies Aged, 80 and over Software Young Adult
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