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Severity of Illness Index

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Vesseg: An Open-Source Tool for Deep Learning-Based Atherosclerotic Plaque Quantification in Histopathology Images-Brief Report.

Arteriosclerosis, thrombosis, and vascular biology Aug 12, 2021
Objective: Manual plaque segmentation in microscopy images is a time-consuming process in atherosclerosis research and potentially subject to unacceptable user-to-user variability and observer bias. We address this by releasing Vesseg a tool that inc...
Deep Learning Mice Staining and Labeling Disease Models, Animal Mice, Inbred C57BL Predictive Value of Tests Reproducibility of Results Animals Male Severity of Illness Index Diagnosis, Computer-Assisted Plaque, Atherosclerotic Arteries Atherosclerosis Microscopy Image Interpretation, Computer-Assisted Vascular Remodeling Mice, Knockout, ApoE Software Female
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Machine learning model for early prediction of acute kidney injury (AKI) in pediatric critical care.

Critical care (London, England) Aug 10, 2021
BACKGROUND: Acute kidney injury (AKI) in pediatric critical care patients is diagnosed using elevated serum creatinine, which occurs only after kidney impairment. There are no treatments other than supportive care for AKI once it has developed, so it...
Humans Machine Learning Computer Simulation Acute Kidney Injury ROC Curve Area Under Curve Critical Care Pediatrics Severity of Illness Index Adolescent Cohort Studies Child, Preschool Child Intensive Care Units, Pediatric Female Infant, Newborn Young Adult Male Infant
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Chronic kidney disease diagnosis using decision tree algorithms.

BMC nephrology Aug 9, 2021
BACKGROUND: Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over a duration of several months to years without any major symptoms, is a life-threatening disease. It progresses in six stages according to the severit...
Kidney Function Tests Decision Trees Patient Acuity Early Diagnosis Medical Records Middle Aged Disease Progression Severity of Illness Index Humans Renal Insufficiency, Chronic Machine Learning Glomerular Filtration Rate Algorithms Prognosis Female Reproducibility of Results Male
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Editorial: The National COVID Cohort Collaborative Consortium Combines Population Data with Machine Learning to Evaluate and Predict Risk Factors for the Severity of COVID-19.

Medical science monitor : international medical journal of experimental and clinical research Aug 2, 2021
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) commonly presents with pneumonia. However, COVID-19 is now recognized to involve multiple organ systems with varying severity ...
Humans Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Models, Statistical Population Health Machine Learning COVID-19 Female SARS-CoV-2 Risk Factors Adult
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Machine learning for detection of stenoses and aneurysms: application in a physiologically realistic virtual patient database.

Biomechanics and modeling in mechanobiology Jul 31, 2021
This study presents an application of machine learning (ML) methods for detecting the presence of stenoses and aneurysms in the human arterial system. Four major forms of arterial disease-carotid artery stenosis (CAS), subclavian artery stenosis (SAS...
Humans Neural Networks, Computer Machine Learning Algorithms Databases, Factual Sensitivity and Specificity Severity of Illness Index User-Computer Interface Peripheral Arterial Disease Aortic Aneurysm, Abdominal Models, Biological Regional Blood Flow Carotid Stenosis Subclavian Artery
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Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets.

Scientific reports Jul 23, 2021
COVID-19 outbreak brings intense pressure on healthcare systems, with an urgent demand for effective diagnostic, prognostic and therapeutic procedures. Here, we employed Automated Machine Learning (AutoML) to analyze three publicly available high thr...
Databases, Protein Computer Simulation Interferon-gamma Prognosis SARS-CoV-2 Severity of Illness Index Humans Gene Expression Profiling Machine Learning ROC Curve Software Proteomics COVID-19 Signal Transduction Databases, Factual Databases, Genetic Biomarkers Metabolomics Immunity, Innate
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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...
Male Middle Aged Severity of Illness Index Deep Learning Image Processing, Computer-Assisted Predictive Value of Tests Algorithms Humans Prospective Studies Artificial Intelligence Tomography, X-Ray Computed Body Composition Female Proof of Concept Study Aged Abdominal Fat End Stage Liver Disease
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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...
Malnutrition Nutritional Status China Logistic Models Cluster Analysis Functional Status Workflow Feasibility Studies Nutrition Assessment Neoplasms Quality of Life Severity of Illness Index Diagnosis, Computer-Assisted Humans Machine Learning Female Aged Adult Male Middle Aged
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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...
Middle Aged Severity of Illness Index Deep Learning Follow-Up Studies Tomography, Optical Coherence Fundus Oculi Retina Macular Degeneration Fluorescein Angiography Prospective Studies Female Reproducibility of Results Aged Aged, 80 and over Male Humans Neural Networks, Computer Algorithms
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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...
Male Middle Aged Comorbidity Severity of Illness Index Models, Theoretical Female Support Vector Machine Humans SARS-CoV-2 Triage Pandemics Aged Risk COVID-19 Aged, 80 and over Symptom Assessment Forecasting Young Adult Electronic Health Records Adult
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