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Severity of Illness Index

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A Continuously Benchmarked and Crowdsourced Challenge for Rapid Development and Evaluation of Models to Predict COVID-19 Diagnosis and Hospitalization.

JAMA network open Oct 1, 2021
IMPORTANCE: Machine learning could be used to predict the likelihood of diagnosis and severity of illness. Lack of COVID-19 patient data has hindered the data science community in developing models to aid in the response to the pandemic.
Male Middle Aged Infant Severity of Illness Index Adolescent Aged Aged, 80 and over Young Adult Adult Benchmarking COVID-19 Testing Crowdsourcing Washington Clinical Decision Rules Child, Preschool Child ROC Curve Models, Statistical Area Under Curve Humans Machine Learning COVID-19 Algorithms Prognosis Female Infant, Newborn Hospitalization
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Can artificial intelligence be used for accurate remote scoring of the Psoriasis Area and Severity Index in adult patients with plaque psoriasis?

The British journal of dermatology Sep 28, 2021
Psoriasis Humans Artificial Intelligence Adult Severity of Illness Index
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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...
Severity of Illness Index Logistic Models Support Vector Machine Area Under Curve Blood Chemical Analysis Hematologic Tests Humans Neural Networks, Computer COVID-19 SARS-CoV-2
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Automatic Assessment of Mitral Regurgitation Severity Using the Mask R-CNN Algorithm with Color Doppler Echocardiography Images.

Computational and mathematical methods in medicine Sep 13, 2021
Accurate assessment of mitral regurgitation (MR) severity is critical in clinical diagnosis and treatment. No single echocardiographic method has been recommended for MR quantification thus far. We sought to define the feasibility and accuracy of the...
Severity of Illness Index Aged Deep Learning Humans Echocardiography, Doppler, Color Computational Biology Aged, 80 and over Neural Networks, Computer Mitral Valve Insufficiency Echocardiography, Three-Dimensional Adult Algorithms Male Female Middle Aged
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Automatic detection and monitoring of abnormal skull shape in children with deformational plagiocephaly using deep learning.

Scientific reports Sep 9, 2021
Craniofacial anomaly including deformational plagiocephaly as a result of deformities in head and facial bones evolution is a serious health problem in newbies. The impact of such condition on the affected infants is profound from both medical and so...
Mobile Applications Cephalometry Data Accuracy Monitoring, Ambulatory Head Deep Learning Child, Preschool Child Smartphone Skull Plagiocephaly, Nonsynostotic Humans Infant Severity of Illness Index
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Machine-learning-based COVID-19 mortality prediction model and identification of patients at low and high risk of dying.

Critical care (London, England) Sep 8, 2021
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic caused by the SARS-Cov2 virus has become the greatest health and controversial issue for worldwide nations. It is associated with different clinical manifestations and a high mortality rate...
COVID-19 Prognosis Female Risk Factors Male Humans Machine Learning Hospital Mortality Risk Assessment Respiration, Artificial Severity of Illness Index Cohort Studies
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Machine learning-based approach for disease severity classification of carpal tunnel syndrome.

Scientific reports Aug 31, 2021
Identifying the severity of carpal tunnel syndrome (CTS) is essential to providing appropriate therapeutic interventions. We developed and validated machine-learning (ML) models for classifying CTS severity. Here, 1037 CTS hands with 11 variables eac...
Humans Carpal Tunnel Syndrome Machine Learning Severity of Illness Index Retrospective Studies Body Mass Index Female Pain Measurement Male Neural Conduction Middle Aged Electrodiagnosis
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Artificial Intelligence Predicts Severity of COVID-19 Based on Correlation of Exaggerated Monocyte Activation, Excessive Organ Damage and Hyperinflammatory Syndrome: A Prospective Clinical Study.

Frontiers in immunology Aug 27, 2021
BACKGROUND: Prediction of the severity of COVID-19 at its onset is important for providing adequate and timely management to reduce mortality.
Female SARS-CoV-2 Male L-Lactate Dehydrogenase Diagnosis, Computer-Assisted Middle Aged Humans Alanine Transaminase Monocytes Severity of Illness Index COVID-19 Cytokines Aspartate Aminotransferases Macrophages Prospective Studies Support Vector Machine Biomarkers HMGB1 Protein Prognosis
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Deep Learning Algorithm Predicts Angiographic Coronary Artery Disease in Stable Patients Using Only a Standard 12-Lead Electrocardiogram.

The Canadian journal of cardiology Aug 20, 2021
BACKGROUND: Current electrocardiogram analysis algorithms cannot predict the presence of coronary artery disease (CAD), especially in stable patients. This study assessed the ability of an artificial intelligence algorithm (ECGio; HEARTio Inc, Pittsb...
Humans Artificial Intelligence Algorithms Retrospective Studies Female Aged Male Middle Aged Predictive Value of Tests Coronary Angiography Coronary Artery Disease Severity of Illness Index Coronary Vessels Fractional Flow Reserve, Myocardial Deep Learning Electrocardiography Follow-Up Studies
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Artificial intelligence to improve efficiency of administration of gross motor function assessment in children with cerebral palsy.

Developmental medicine and child neurology Aug 13, 2021
AIM: To create a reduced version of the 66-item Gross Motor Function Measure (rGMFM-66) using innovative artificial intelligence methods to improve efficiency of administration of the GMFM-66.
Humans Neural Networks, Computer Artificial Intelligence Machine Learning Prospective Studies Motor Skills Retrospective Studies Child, Preschool Child Female Support Vector Machine Male Cerebral Palsy Severity of Illness Index Adolescent
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