AIMC Topic: Community-Acquired Infections

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An explainable machine learning-based model to predict intensive care unit admission among patients with community-acquired pneumonia and connective tissue disease.

Respiratory research Jun 18, 2024
BACKGROUND: There is no individualized prediction model for intensive care unit (ICU) admission on patients with community-acquired pneumonia (CAP) and connective tissue disease (CTD) so far. In this study, we aimed to establish a machine learning-ba...
Machine Learning Retrospective Studies Intensive Care Units Female Aged Humans Pneumonia Predictive Value of Tests Patient Admission Community-Acquired Infections Connective Tissue Diseases Adult Male Middle Aged China
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AI support for accurate and fast radiological diagnosis of COVID-19: an international multicenter, multivendor CT study.

European radiology Dec 16, 2022
OBJECTIVES: Differentiation between COVID-19 and community-acquired pneumonia (CAP) in computed tomography (CT) is a task that can be performed by human radiologists and artificial intelligence (AI). The present study aims to (1) develop an AI algori...
Pneumonia COVID-19 Testing Community-Acquired Infections Humans Tomography, X-Ray Computed SARS-CoV-2 Artificial Intelligence Deep Learning COVID-19
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A Broad Learning System to Predict the 28-Day Mortality of Patients Hospitalized with Community-Acquired Pneumonia: A Case-Control Study.

Computational and mathematical methods in medicine Mar 4, 2022
This study was to conduct a model based on the broad learning system (BLS) for predicting the 28-day mortality of patients hospitalized with community-acquired pneumonia (CAP). A total of 1,210 eligible CAP cases from Chifeng Municipal Hospital were ...
Humans Neural Networks, Computer Machine Learning Retrospective Studies Female Pneumonia Community-Acquired Infections Epidemiological Models Risk Factors Hospitalization Middle Aged Aged Case-Control Studies Male China Computational Biology
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Prediction of COVID-19 with Computed Tomography Images using Hybrid Learning Techniques.

Disease markers Apr 22, 2021
Reverse Transcription Polymerase Chain Reaction (RT-PCR) used for diagnosing COVID-19 has been found to give low detection rate during early stages of infection. Radiological analysis of CT images has given higher prediction rate when compared to RT-...
Machine Learning COVID-19 Tomography, X-Ray Computed Sensitivity and Specificity Models, Statistical Decision Trees Pneumonia Lung Case-Control Studies Humans Bayes Theorem Community-Acquired Infections
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PSSPNN: PatchShuffle Stochastic Pooling Neural Network for an Explainable Diagnosis of COVID-19 with Multiple-Way Data Augmentation.

Computational and mathematical methods in medicine Mar 8, 2021
AIM: COVID-19 has caused large death tolls all over the world. Accurate diagnosis is of significant importance for early treatment.
Retrospective Studies Stochastic Processes Tomography, X-Ray Computed Community-Acquired Infections Reproducibility of Results Diagnosis, Computer-Assisted Tuberculosis, Pulmonary Medical Informatics Radiography, Thoracic Imaging, Three-Dimensional Pneumonia Software COVID-19 Algorithms Databases, Factual Humans Neural Networks, Computer
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Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study.

Journal of medical Internet research Feb 22, 2021
BACKGROUND: The initial symptoms of patients with COVID-19 are very much like those of patients with community-acquired pneumonia (CAP); it is difficult to distinguish COVID-19 from CAP with clinical symptoms and imaging examination.
ROC Curve Logistic Models Pneumonia Procalcitonin Female SARS-CoV-2 Male Middle Aged Area Under Curve Laboratories Leukocyte Count Community-Acquired Infections Machine Learning COVID-19 Retrospective Studies Humans
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Deep learning model for prediction of extended-spectrum beta-lactamase (ESBL) production in community-onset Enterobacteriaceae bacteraemia from a high ESBL prevalence multi-centre cohort.

European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology Jan 5, 2021
Adequate empirical antimicrobial coverage is instrumental in clinical management of community-onset Enterobacteriaceae bacteraemia in areas with high ESBL prevalence, while balancing the risk of carbapenem overuse and emergence of carbapenem-resistan...
Enterobacteriaceae Hong Kong Multivariate Analysis Enterobacteriaceae Infections Community-Acquired Infections Cohort Studies Blood Culture Models, Biological beta-Lactamases Humans Deep Learning
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Anastomotic Leak is Increased With Infection After Colectomy: Machine Learning-Augmented Propensity Score Modified Analysis of 46 735 Patients.

The American surgeon Dec 24, 2020
BACKGROUND: infection (CDI) is now the most common cause of healthcare-associated infections, with increasing prevalence, severity, and mortality of nosocomial and community-acquired CDI which makes up approximately one third of all CDI. There are a...
Asymptomatic Infections Clostridioides difficile Middle Aged Community-Acquired Infections Case-Control Studies Anastomotic Leak Humans Cross Infection Length of Stay Machine Learning Clostridium Infections Regression Analysis Female Propensity Score Colectomy Male
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Hypergraph learning for identification of COVID-19 with CT imaging.

Medical image analysis Nov 26, 2020
The coronavirus disease, named COVID-19, has become the largest global public health crisis since it started in early 2020. CT imaging has been used as a complementary tool to assist early screening, especially for the rapid identification of COVID-1...
Radiographic Image Interpretation, Computer-Assisted Datasets as Topic Community-Acquired Infections Pneumonia, Viral SARS-CoV-2 Machine Learning Diagnosis, Computer-Assisted COVID-19 China Humans Tomography, X-Ray Computed Diagnosis, Differential
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Machine Learning Model for Risk Prediction of Community-Acquired Acute Kidney Injury Hospitalization From Electronic Health Records: Development and Validation Study.

Journal of medical Internet research Aug 4, 2020
BACKGROUND: Community-acquired acute kidney injury (CA-AKI)-associated hospitalizations impose significant health care needs and contribute to in-hospital mortality. However, most risk prediction models developed to date have focused on AKI in a spec...
Female Hospitalization Middle Aged Aged Risk Assessment Community-Acquired Infections Male Case-Control Studies Humans Cohort Studies Machine Learning Acute Kidney Injury Electronic Health Records
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