AIMC Topic: Sepsis

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Fusion of fully integrated analog machine learning classifier with electronic medical records for real-time prediction of sepsis onset.

Scientific reports Apr 5, 2022
The objective of this work is to develop a fusion artificial intelligence (AI) model that combines patient electronic medical record (EMR) and physiological sensor data to accurately predict early risk of sepsis. The fusion AI model has two component...
Humans Electronic Health Records Sepsis Vital Signs Artificial Intelligence Machine Learning
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Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms.

Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases Mar 29, 2022
Algorithms Sepsis Humans Machine Learning
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A Machine Learning Model for Early Prediction and Detection of Sepsis in Intensive Care Unit Patients.

Journal of healthcare engineering Mar 26, 2022
In today's scenario, sepsis is impacting millions of patients in the intensive care unit due to the fact that the mortality rate is increased exponentially and has become a major challenge in the field of healthcare. Such peoples require determinant ...
Critical Care Sepsis Bayes Theorem Machine Learning Intensive Care Units Humans
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Characteristics of Computed Tomography Images for Patients with Acute Liver Injury Caused by Sepsis under Deep Learning Algorithm.

Contrast media & molecular imaging Mar 20, 2022
This study was aimed at exploring the application of image segmentation based on full convolutional neural network (FCN) in liver computed tomography (CT) image segmentation and analyzing the clinical features of acute liver injury caused by sepsis. ...
Humans Algorithms Sepsis Image Processing, Computer-Assisted Tomography, X-Ray Computed Liver Deep Learning
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Identification of a novel four-gene diagnostic signature for patients with sepsis by integrating weighted gene co-expression network analysis and support vector machine algorithm.

Hereditas Feb 21, 2022
Sepsis is a life-threatening condition in which the immune response is directed towards the host tissues, causing organ failure. Since sepsis does not present with specific symptoms, its diagnosis is often delayed. The lack of diagnostic accuracy res...
Gene Ontology Algorithms Gene Expression Profiling Gene Regulatory Networks Support Vector Machine Sepsis Humans
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Prediction of Resuscitation for Pediatric Sepsis from Data Available at Triage.

AMIA ... Annual Symposium proceedings. AMIA Symposium Feb 21, 2022
Pediatric sepsis imposes a significant burden of morbidity and mortality among children. While the speedy application of existing supportive care measures can substantially improve outcomes, further improvements in delivering that care require tools ...
Triage Emergency Service, Hospital Retrospective Studies Humans Sepsis Machine Learning Child
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Machine Learning-Based Cry Diagnostic System for Identifying Septic Newborns.

Journal of voice : official journal of the Voice Foundation Feb 19, 2022
BACKGROUND AND OBJECTIVE: Processing the newborns' cry audio signal (CAS) provides valuable information about the newborns' condition. This information can be used to diagnose the disease. This article analyzes the CASs of newborns under two months o...
Crying Sound Recordings Monitoring, Physiologic Principal Component Analysis Female Infant, Newborn Humans Infant Machine Learning Male Sepsis
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Evaluation of domain generalization and adaptation on improving model robustness to temporal dataset shift in clinical medicine.

Scientific reports Feb 17, 2022
Temporal dataset shift associated with changes in healthcare over time is a barrier to deploying machine learning-based clinical decision support systems. Algorithms that learn robust models by estimating invariant properties across time periods for ...
Neural Networks, Computer Databases, Factual Intensive Care Units Humans Aged, 80 and over Male Middle Aged Female Aged Models, Biological Length of Stay Sepsis
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Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest).

BMC emergency medicine Feb 11, 2022
BACKGROUND: Elderly patients with sepsis have many comorbidities, and the clinical reaction is not obvious. Thus, clinical treatment is difficult. We planned to use the laboratory test results and comorbidities of elderly patients with sepsis from a ...
Prognosis Retrospective Studies Sepsis Critical Care Aged Humans Machine Learning
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Account of Deep Learning-Based Ultrasonic Image Feature in the Diagnosis of Severe Sepsis Complicated with Acute Kidney Injury.

Computational and mathematical methods in medicine Jan 31, 2022
This study was aimed at analyzing the diagnostic value of convolutional neural network models on account of deep learning for severe sepsis complicated with acute kidney injury and providing an effective theoretical reference for the clinical use of ...
Diagnosis, Computer-Assisted Deep Learning Ultrasonography ROC Curve Sepsis Algorithms Acute Kidney Injury Case-Control Studies Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Computational Biology Area Under Curve
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