AIMC Topic: Severity of Illness Index

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Keratoconus Severity Classification Using Features Selection and Machine Learning Algorithms.

Computational and mathematical methods in medicine Nov 16, 2021
Keratoconus is a noninflammatory disease characterized by thinning and bulging of the cornea, generally appearing during adolescence and slowly progressing, causing vision impairment. However, the detection of keratoconus remains difficult in the ear...
Computational Biology Logistic Models Support Vector Machine Decision Trees Keratoconus Bayes Theorem Early Diagnosis Linear Models Databases, Factual Computer Simulation Cornea Severity of Illness Index Humans Neural Networks, Computer Machine Learning Algorithms
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Machine Learning for Predicting Motor Improvement After Acute Subcortical Infarction Using Baseline Whole Brain Volumes.

Neurorehabilitation and neural repair Nov 1, 2021
Neuroimaging biomarkers are valuable predictors of motor improvement after stroke, but there is a gap between published evidence and clinical usage. In this work, we aimed to investigate whether machine learning techniques, when applied to a combin...
Humans Machine Learning Brain Prognosis Middle Aged Severity of Illness Index Magnetic Resonance Imaging Cerebral Infarction Stroke Rehabilitation Female Aged Sensitivity and Specificity Male
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Subchondral Bone Length in Knee Osteoarthritis: A Deep Learning-Derived Imaging Measure and Its Association With Radiographic and Clinical Outcomes.

Arthritis & rheumatology (Hoboken, N.J.) Oct 29, 2021
OBJECTIVE: To develop a bone shape measure that reflects the extent of cartilage loss and bone flattening in knee osteoarthritis (OA) and test it against estimates of disease severity.
Cartilage, Articular Deep Learning Magnetic Resonance Imaging Knee Joint Osteoarthritis, Knee Humans Female Aged Male Middle Aged Disease Progression Severity of Illness Index
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Early prediction of severe acute pancreatitis using machine learning.

Pancreatology : official journal of the International Association of Pancreatology (IAP) ... [et al.] Oct 16, 2021
BACKGROUND: Acute pancreatitis (AP) is one of the most common causes of gastrointestinal-related hospitalizations in the United States. Severe AP (SAP) is associated with a mortality rate of nearly 30% and is distinguished from milder forms of AP. Ri...
Pancreatitis Aged, 80 and over Adult Male Middle Aged Severity of Illness Index Adolescent ROC Curve Predictive Value of Tests Acute Disease Prognosis Retrospective Studies Female Aged Humans Machine Learning
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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.
Algorithms Prognosis Female Infant, Newborn Hospitalization Humans Machine Learning COVID-19 Male Middle Aged Infant Severity of Illness Index Adolescent Aged Aged, 80 and over Young Adult Adult Washington Clinical Decision Rules Area Under Curve Benchmarking Child, Preschool COVID-19 Testing Child Crowdsourcing ROC Curve Models, Statistical
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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
Severity of Illness Index Psoriasis Humans Artificial Intelligence Adult
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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...
Blood Chemical Analysis Hematologic Tests Severity of Illness Index Logistic Models Support Vector Machine Humans Area Under Curve 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...
Aged, 80 and over Adult Male Middle Aged Deep Learning Echocardiography, Three-Dimensional Humans Neural Networks, Computer Computational Biology Severity of Illness Index Algorithms Mitral Valve Insufficiency Female Echocardiography, Doppler, Color 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...
Severity of Illness Index Deep Learning Child, Preschool Child Smartphone Mobile Applications Cephalometry Data Accuracy Monitoring, Ambulatory Humans Infant Head Skull Plagiocephaly, Nonsynostotic
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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...
Male Machine Learning Risk Assessment COVID-19 Respiration, Artificial Prognosis Cohort Studies Severity of Illness Index Female Hospital Mortality Humans Risk Factors
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