AIMC Topic: Blood Sedimentation

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Machine learning classification of inflammatory bowel disease activity using white blood cell subsets.

BMJ open gastroenterology Nov 28, 2025
OBJECTIVE: The lack of a rapid, validated, consistent test for tracking disease activity in patients with inflammatory bowel disease (IBD) is currently a major challenge. Currently used biomarkers have notable disadvantages, such as the slow processi...
Middle Aged Severity of Illness Index ROC Curve Adult Male Leukocytes Leukocyte Count Blood Sedimentation Neutrophils C-Reactive Protein Humans Machine Learning Female Biomarkers Young Adult Inflammatory Bowel Diseases
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Neural network ensemble model for prediction of erythrocyte sedimentation rate (ESR) using partial least squares regression.

Scientific reports Nov 15, 2022
The erythrocyte sedimentation rate (ESR) is a non-specific blood test for determining inflammatory conditions. However, the long measurement time (60 min) to obtain ESR is an obstacle for a prompt evaluation. In this study, to reduce the measurement ...
Humans Neural Networks, Computer Blood Sedimentation Least-Squares Analysis
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Diagnostic classification of coronavirus disease 2019 (COVID-19) and other pneumonias using radiomics features in CT chest images.

Scientific reports Sep 9, 2021
We propose a classification method using the radiomics features of CT chest images to identify patients with coronavirus disease 2019 (COVID-19) and other pneumonias. The chest CT images of two groups of participants (90 COVID-19 patients who were co...
Adult Male Lung Humans Female Support Vector Machine COVID-19 Biomedical Engineering Pneumonia Leukocyte Count Middle Aged SARS-CoV-2 Tomography, X-Ray Computed Blood Sedimentation C-Reactive Protein
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Image analysis and machine learning for detecting malaria.

Translational research : the journal of laboratory and clinical medicine Jan 12, 2018
Malaria remains a major burden on global health, with roughly 200 million cases worldwide and more than 400,000 deaths per year. Besides biomedical research and political efforts, modern information technology is playing a key role in many attempts a...
Humans Machine Learning Malaria Blood Sedimentation Smartphone Staining and Labeling
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Development and validation of a multivariate predictive model for rheumatoid arthritis mortality using a machine learning approach.

Scientific reports Aug 31, 2017
We developed and independently validated a rheumatoid arthritis (RA) mortality prediction model using the machine learning method Random Survival Forests (RSF). Two independent cohorts from Madrid (Spain) were used: the Hospital Clínico San Carlos RA...
Blood Sedimentation Longitudinal Studies Spain Female Male Arthritis, Rheumatoid Humans Aged Middle Aged Machine Learning Models, Theoretical Cohort Studies
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Impact of analytical bias on machine learning models for sepsis prediction using laboratory data.

Clinical chemistry and laboratory medicine Sep 25, 2025
OBJECTIVES: Machine learning (ML) models, using laboratory data, support early sepsis prediction. However, analytical bias in laboratory measurements can compromise their performance and validity in real-world settings. We aimed to evaluate how analy...
Machine Learning Female Aged Humans Sepsis Support Vector Machine Bias Male Middle Aged Blood Sedimentation Blood Cell Count Leukocyte Count
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A machine learning approach for assessing acute infection by erythrocyte sedimentation rate (ESR) kinetics.

Clinica chimica acta; international journal of clinical chemistry Jun 15, 2025
BACKGROUND: The erythrocyte sedimentation rate (ESR) is a traditional marker of inflammation, valued for its simplicity and low cost but limited by unsatisfactory specificity and sensitivity. This study evaluated the equivalence of ESR measurements o...
Blood Sedimentation Male Middle Aged Kinetics Infections Acute Disease Aged Adult Machine Learning Female Humans
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