AIMC Topic: Blood Sedimentation
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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 ...
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...
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...
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...
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...
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