AIMC Topic: Hematologic Tests

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An Ensemble Learning Model for COVID-19 Detection from Blood Test Samples.

Sensors (Basel, Switzerland) Mar 13, 2022
Current research endeavors in the application of artificial intelligence (AI) methods in the diagnosis of the COVID-19 disease has proven indispensable with very promising results. Despite these promising results, there are still limitations in real-...
Machine Learning COVID-19 Bayes Theorem Hematologic Tests Humans Artificial Intelligence
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A Hemolysis Image Detection Method Based on GAN-CNN-ELM.

Computational and mathematical methods in medicine Feb 22, 2022
Since manual hemolysis test methods are given priority with practical experience and its cost is high, the characteristics of hemolysis images are studied. A hemolysis image detection method based on generative adversarial networks (GANs) and convolu...
Image Interpretation, Computer-Assisted Image Enhancement Hemolysis Machine Learning Algorithms Computational Biology Hematologic Tests Humans Neural Networks, Computer
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Using different machine learning models to classify patients into mild and severe cases of COVID-19 based on multivariate blood testing.

Journal of medical virology Sep 25, 2021
COVID-19 is a serious respiratory disease. The ever-increasing number of cases is causing heavier loads on the health service system. Using 38 blood test indicators on the first day of admission for the 422 patients diagnosed with COVID-19 (from Janu...
Support Vector Machine Area Under Curve Blood Chemical Analysis Hematologic Tests Humans SARS-CoV-2 Neural Networks, Computer COVID-19 Severity of Illness Index Logistic Models
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Deep forest model for diagnosing COVID-19 from routine blood tests.

Scientific reports Aug 17, 2021
The Coronavirus Disease 2019 (COVID-19) global pandemic has threatened the lives of people worldwide and posed considerable challenges. Early and accurate screening of infected people is vital for combating the disease. To help with the limited quant...
Humans Mass Screening COVID-19 Testing Datasets as Topic Hematologic Tests COVID-19 Deep Learning ROC Curve
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Reply to the Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.

Japanese journal of radiology Jul 21, 2021
SARS-CoV-2 Deep Learning Hematologic Tests Algorithms Technology Tomography, X-Ray Computed Humans COVID-19
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Letter to the Editor: Quantitative evaluation of COVID-19 pneumonia severity by CT pneumonia analysis algorithm using deep learning technology and blood test results.

Japanese journal of radiology Jul 5, 2021
Deep Learning Hematologic Tests Technology Tomography, X-Ray Computed Humans SARS-CoV-2 COVID-19 Algorithms
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COVID-19 diagnosis by routine blood tests using machine learning.

Scientific reports May 24, 2021
Physicians taking care of patients with COVID-19 have described different changes in routine blood parameters. However, these changes hinder them from performing COVID-19 diagnoses. We constructed a machine learning model for COVID-19 diagnosis that ...
Aged Sensitivity and Specificity Male Severity of Illness Index ROC Curve Area Under Curve Tomography, X-Ray Computed Humans Female Prothrombin SARS-CoV-2 Machine Learning Eosinophils Hematologic Tests COVID-19 Thorax Biomarkers Serum Albumin
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Aiding clinical assessment of neonatal sepsis using hematological analyzer data with machine learning techniques.

International journal of laboratory hematology May 4, 2021
INTRODUCTION: Early diagnosis and antibiotic administration are essential for reducing sepsis morbidity and mortality; however, diagnosis remains difficult due to complex pathogenesis and presentation. We created a machine learning model for bacteria...
Machine Learning Hematologic Tests Humans Algorithms Infant, Newborn Logistic Models Risk Assessment Neonatal Sepsis Bacteremia
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Prediction of Recurrence in Patients with Stage III Colon Cancer Using Conventional Clinicopathological Factors and Peripheral Blood Test Data: A New Analysis with Artificial Intelligence.

Oncology Feb 24, 2021
BACKGROUND: Survival rate may be predicted by tumor-node-metastasis staging systems in colon cancer. In clinical practice, about 20 to 30 clinicopathological factors and blood test data have been used. Various predictive factors for recurrence have b...
Prognosis Neoplasm Recurrence, Local Biomarkers, Tumor Retrospective Studies Lymph Nodes Colonic Neoplasms Risk Factors Humans Neoplasm Staging Hematologic Tests Artificial Intelligence
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Rapid triage for COVID-19 using routine clinical data for patients attending hospital: development and prospective validation of an artificial intelligence screening test.

The Lancet. Digital health Dec 11, 2020
BACKGROUND: The early clinical course of COVID-19 can be difficult to distinguish from other illnesses driving presentation to hospital. However, viral-specific PCR testing has limited sensitivity and results can take up to 72 h for operational reaso...
Hematologic Tests Prospective Studies Predictive Value of Tests Middle Aged Humans Hospitalization Hospitals Triage Artificial Intelligence Mass Screening Adult Emergency Service, Hospital COVID-19
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