AIMC Topic: Severity of Illness Index

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Automated Measurements of Body Composition in Abdominal CT Scans Using Artificial Intelligence Can Predict Mortality in Patients With Cirrhosis.

Hepatology communications Jul 7, 2021
Body composition measures derived from already available electronic medical records (computed tomography [CT] scans) can have significant value, but automation of measurements is needed for clinical implementation. We sought to use artificial intelli...
Prospective Studies Tomography, X-Ray Computed Female Aged Male Middle Aged Humans Artificial Intelligence Algorithms Proof of Concept Study Abdominal Fat Severity of Illness Index End Stage Liver Disease Deep Learning Image Processing, Computer-Assisted Predictive Value of Tests Body Composition
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A fusion decision system to identify and grade malnutrition in cancer patients: Machine learning reveals feasible workflow from representative real-world data.

Clinical nutrition (Edinburgh, Scotland) Jul 3, 2021
BACKGROUND AND AIMS: Most nutritional assessment tools are based on pre-defined questionnaires or consensus guidelines. However, it has been postulated that population data can be used directly to develop a solution for assessing malnutrition. This s...
Functional Status Workflow Feasibility Studies Malnutrition Nutritional Status Aged Adult Male Middle Aged Humans Nutrition Assessment Quality of Life Machine Learning Severity of Illness Index Neoplasms Female Diagnosis, Computer-Assisted China Logistic Models Cluster Analysis
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Self-Supervised Feature Learning and Phenotyping for Assessing Age-Related Macular Degeneration Using Retinal Fundus Images.

Ophthalmology. Retina Jul 2, 2021
OBJECTIVE: Diseases such as age-related macular degeneration (AMD) are classified based on human rubrics that are prone to bias. Supervised neural networks trained using human-generated labels require labor-intensive annotations and are restricted to...
Humans Neural Networks, Computer Algorithms Prospective Studies Female Reproducibility of Results Follow-Up Studies Tomography, Optical Coherence Fundus Oculi Aged Retina Macular Degeneration Aged, 80 and over Fluorescein Angiography Male Middle Aged Severity of Illness Index Deep Learning
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A machine learning based exploration of COVID-19 mortality risk.

PloS one Jul 2, 2021
Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invas...
Humans Young Adult Pandemics Adult Models, Theoretical Electronic Health Records COVID-19 Male Support Vector Machine Female Forecasting Middle Aged Triage SARS-CoV-2 Comorbidity Risk Aged Severity of Illness Index Symptom Assessment Aged, 80 and over
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Immune-Based Prediction of COVID-19 Severity and Chronicity Decoded Using Machine Learning.

Frontiers in immunology Jun 28, 2021
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequently therapeutics directed against CCR5 are being investigated. Here, we explored the role of CCR5 and its ligands across the immunologic spectrum of CO...
Antibodies, Viral Computational Biology CD8-Positive T-Lymphocytes Female Post-Acute COVID-19 Syndrome Humans Receptors, CCR5 RNA, Viral SARS-CoV-2 Machine Learning Chemokine CCL5 T-Lymphocytes, Regulatory Male COVID-19 Severity of Illness Index Algorithms Case-Control Studies Prognosis Lymphocyte Activation
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Establishing a carotid artery stenosis disease cohort for comparative effectiveness research using natural language processing.

Journal of vascular surgery Jun 25, 2021
OBJECTIVE: Investigation of asymptomatic carotid stenosis treatment is hindered by the lack of a contemporary population-based disease cohort. We describe the use of natural language processing (NLP) to identify stenosis in patients undergoing caroti...
Medical Records Retrospective Studies Asymptomatic Diseases Cross-Sectional Studies Computed Tomography Angiography Humans Severity of Illness Index Data Mining Carotid Stenosis Hemodynamics Ultrasonography, Doppler Comparative Effectiveness Research Predictive Value of Tests California Natural Language Processing International Classification of Diseases Magnetic Resonance Angiography
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A Machine Learning Approach Enables Quantitative Measurement of Liver Histology and Disease Monitoring in NASH.

Hepatology (Baltimore, Md.) Jun 24, 2021
BACKGROUND AND AIMS: Manual histological assessment is currently the accepted standard for diagnosing and monitoring disease progression in NASH, but is limited by variability in interpretation and insensitivity to change. Thus, there is a critical n...
Reproducibility of Results Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Liver Cirrhosis Liver Humans Randomized Controlled Trials as Topic Biopsy Non-alcoholic Fatty Liver Disease
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Contrasting factors associated with COVID-19-related ICU admission and death outcomes in hospitalised patients by means of Shapley values.

PLoS computational biology Jun 23, 2021
Identification of those at greatest risk of death due to the substantial threat of COVID-19 can benefit from novel approaches to epidemiology that leverage large datasets and complex machine-learning models, provide data-driven intelligence, and guid...
Machine Learning COVID-19 Retrospective Studies Intensive Care Units Female SARS-CoV-2 Risk Factors Aged Aged, 80 and over Young Adult Adult Male Humans Adolescent Middle Aged Child, Preschool Child Infant Logistic Models Comorbidity Patient Admission Severity of Illness Index England
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Objective pain stimulation intensity and pain sensation assessment using machine learning classification and regression based on electrodermal activity.

American journal of physiology. Regulatory, integrative and comparative physiology Jun 16, 2021
An objective measure of pain remains an unmet need of people with chronic pain, estimated to be 1/3 of the adult population in the United States. The current gold standard to quantify pain is highly subjective, based upon self-reporting with numerica...
Electrodiagnosis Pain Perception Machine Learning Pain Female Hot Temperature Reproducibility of Results Sympathetic Nervous System Young Adult Pain Threshold Severity of Illness Index Humans Adult Galvanic Skin Response Predictive Value of Tests Male Pain Measurement Signal Processing, Computer-Assisted Skin Feasibility Studies
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A Pilot Study on Automatic Three-Dimensional Quantification of Barrett's Esophagus for Risk Stratification and Therapy Monitoring.

Gastroenterology Jun 8, 2021
BACKGROUND & AIMS: Barrett's epithelium measurement using widely accepted Prague C&M classification is highly operator dependent. We propose a novel methodology for measuring this risk score automatically. The method also enables quantification of th...
Automation Esophagogastric Junction Esophagoscopy Esophageal Mucosa Aged Male Risk Assessment Disease Progression Severity of Illness Index Deep Learning Pilot Projects Imaging, Three-Dimensional Treatment Outcome Humans Predictive Value of Tests Female Image Interpretation, Computer-Assisted Reproducibility of Results Barrett Esophagus Risk Factors
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