AIMC Topic: Severity of Illness Index

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A deep learning approach to remotely assessing essential tremor with handwritten images.

Scientific reports Mar 28, 2025
Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life. Traditional methods for assessing ET severity are often time-consuming, subjective, an...
Essential Tremor Humans Female Aged Aged, 80 and over Male Middle Aged Severity of Illness Index Deep Learning Handwriting
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Machine Learning Identification of Patient Phenoclusters in Aortic Regurgitation.

JACC. Cardiovascular imaging Mar 26, 2025
BACKGROUND: Current treatment paradigms assume aortic regurgitation (AR) patients to be a homogenous population, but varied courses of disease progression and outcomes are observed clinically.
Sex Factors Aortic Valve Insufficiency Magnetic Resonance Imaging, Cine Phenotype United States Prognosis Aortic Valve Retrospective Studies Unsupervised Machine Learning Female Predictive Value of Tests Middle Aged Reproducibility of Results Risk Factors Risk Assessment Aged Humans Disease Progression Adult Severity of Illness Index Machine Learning Male Time Factors Decision Support Techniques Ventricular Function, Left
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Deep neural networks excel in COVID-19 disease severity prediction-a meta-regression analysis.

Scientific reports Mar 26, 2025
COVID-19 is a disease in which early prognosis of severity is critical for desired patient outcomes and for the management of limited resources like intensive care unit beds and ventilation equipment. Many prognostic statistical tools have been devel...
Machine Learning COVID-19 Prognosis SARS-CoV-2 Severity of Illness Index Deep Learning Regression Analysis Humans Neural Networks, Computer
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Machine learning-based model for predicting all-cause mortality in severe pneumonia.

BMJ open respiratory research Mar 22, 2025
BACKGROUND: Severe pneumonia has a poor prognosis and high mortality. Current severity scores such as Acute Physiology and Chronic Health Evaluation (APACHE-II) and Sequential Organ Failure Assessment (SOFA), have limited ability to help clinicians i...
Humans Machine Learning Prognosis Hospital Mortality ROC Curve Pneumonia APACHE Retrospective Studies Male Female Middle Aged Risk Factors Risk Assessment Aged Severity of Illness Index China
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Measurement of adipose body composition using an artificial intelligence-based CT Protocol and its association with severe acute pancreatitis in hospitalized patients.

Digestive and liver disease : official journal of the Italian Society of Gastroenterology and the Italian Association for the Study of the Liver Mar 21, 2025
BACKGROUND/OBJECTIVES: The clinical utility of body composition in predicting the severity of acute pancreatitis (AP) remains unclear. We aimed to measure body composition using artificial intelligence (AI) to predict severe AP in hospitalized patien...
Humans Artificial Intelligence Retrospective Studies Male Middle Aged Severity of Illness Index Adipose Tissue Acute Disease Tomography, X-Ray Computed Female Hospitalization Aged Adult Body Composition Intra-Abdominal Fat Pancreatitis
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Personalized prediction of psoriasis relapse post-biologic discontinuation: a machine learning-driven population cohort study.

The Journal of dermatological treatment Mar 19, 2025
BACKGROUND: Identifying the risk of psoriasis relapse after discontinuing biologics can help optimize treatment strategies, potentially reducing relapse rates and alleviating the burden of disease management.
Recurrence Withholding Treatment Nomograms Psoriasis Biological Products Remission Induction Machine Learning Precision Medicine Female Adult Male Middle Aged Risk Assessment Severity of Illness Index Cohort Studies ROC Curve Humans
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Generalizability of clinical prediction models in mental health.

Molecular psychiatry Mar 19, 2025
Concerns about the generalizability of machine learning models in mental health arise, partly due to sampling effects and data disparities between research cohorts and real-world populations. We aimed to investigate whether a machine learning model t...
Machine Learning Mental Disorders Female Aged Aged, 80 and over Humans Severity of Illness Index Depression Young Adult Adolescent Adult Cohort Studies Mental Health Mood Disorders Male Middle Aged
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Predicting coronavirus disease 2019 severity using explainable artificial intelligence techniques.

Scientific reports Mar 19, 2025
Predictive models for determining coronavirus disease 2019 (COVID-19) severity have been established; however, the complexity of the interactions among factors limits the use of conventional statistical methods. This study aimed to establish a simple...
Severity of Illness Index ROC Curve Logistic Models Area Under Curve Aged Adult Humans Male Artificial Intelligence Middle Aged Machine Learning COVID-19 Female SARS-CoV-2
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Exploring predictors of insomnia severity in shift workers using machine learning model.

Frontiers in public health Mar 14, 2025
INTRODUCTION: Insomnia in shift workers has distinctive features due to circadian rhythm disruption caused by reversed or unstable sleep-wake cycle work schedules. While previous studies have primarily focused on a limited number of predictors for in...
Shift Work Schedule Male Humans Middle Aged Machine Learning Severity of Illness Index Female Sleep Initiation and Maintenance Disorders Adult Work Schedule Tolerance
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Machine learning prediction of right ventricular volume and ejection fraction from two-dimensional echocardiography in patients with pulmonary regurgitation.

The international journal of cardiovascular imaging Mar 13, 2025
Right ventricular (RV) end-diastolic volume (RVEDV) and ejection fraction (RVEF) by cardiac MRI (cMRI) guide management in chronic pulmonary regurgitation (PR). Two-dimensional echocardiography suboptimally correlate with RV volumes. This study teste...
Image Interpretation, Computer-Assisted Ventricular Function, Right Pulmonary Valve Insufficiency Young Adult Machine Learning Adult Prognosis Male Retrospective Studies Stroke Volume Female Severity of Illness Index Echocardiography Reproducibility of Results Adolescent Chronic Disease Predictive Value of Tests Humans Ventricular Dysfunction, Right
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