AIMC Topic: Severity of Illness Index

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Predicting Parkinson's disease trajectory using clinical and neuroimaging baseline measures.

Parkinsonism & related disorders Mar 7, 2021
INTRODUCTION: Predictive biomarkers of Parkinson's Disease progression are needed to expedite neuroprotective treatment development and facilitate prognoses for patients. This work uses measures derived from resting-state functional magnetic resonanc...
Female Reproducibility of Results Aged Male Middle Aged Humans Machine Learning Biomarkers Prognosis Parkinson Disease Cerebellum Cerebral Cortex Nerve Net Default Mode Network Disease Progression Severity of Illness Index Functional Neuroimaging Follow-Up Studies Magnetic Resonance Imaging
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A 2-year investigation of the impact of the computed tomography-derived fractional flow reserve calculated using a deep learning algorithm on routine decision-making for coronary artery disease management.

European radiology Feb 25, 2021
OBJECTIVE: This study aims to investigate the safety and feasibility of using a deep learning algorithm to calculate computed tomography angiography-based fractional flow reserve (DL-FFRCT) as an alternative to invasive coronary angiography (ICA) in ...
Coronary Angiography Coronary Artery Disease Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Tomography, X-Ray Computed Humans Severity of Illness Index Algorithms Hemodynamics Retrospective Studies Deep Learning Predictive Value of Tests
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Machine learning based predictors for COVID-19 disease severity.

Scientific reports Feb 25, 2021
Predictors of the need for intensive care and mechanical ventilation can help healthcare systems in planning for surge capacity for COVID-19. We used socio-demographic data, clinical data, and blood panel profile data at the time of initial presentat...
Cohort Studies COVID-19 Prognosis Intensive Care Units Female SARS-CoV-2 Humans Machine Learning Adult Male Middle Aged Severity of Illness Index Risk Factors Adolescent Aged Aged, 80 and over Young Adult
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Residual Neural Network precisely quantifies dysarthria severity-level based on short-duration speech segments.

Neural networks : the official journal of the International Neural Network Society Feb 24, 2021
Recently, we have witnessed Deep Learning methodologies gaining significant attention for severity-based classification of dysarthric speech. Detecting dysarthria, quantifying its severity, are of paramount importance in various real-life application...
Normal Distribution Humans Dysarthria Neural Networks, Computer Severity of Illness Index Speech Time Factors Speech Recognition Software
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An artificial neural network approach to detect presence and severity of Parkinson's disease via gait parameters.

PloS one Feb 19, 2021
INTRODUCTION: Gait deficits are debilitating in people with Parkinson's disease (PwPD), which inevitably deteriorate over time. Gait analysis is a valuable method to assess disease-specific gait patterns and their relationship with the clinical featu...
Gait Biomechanical Phenomena Humans Gait Analysis Neural Networks, Computer Gait Disorders, Neurologic Male Female Middle Aged Aged Severity of Illness Index Parkinson Disease
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Correlation between lung infection severity and clinical laboratory indicators in patients with COVID-19: a cross-sectional study based on machine learning.

BMC infectious diseases Feb 18, 2021
BACKGROUND: Coronavirus disease 2019 (COVID-19) has caused a global pandemic that has raised worldwide concern. This study aims to investigate the correlation between the extent of lung infection and relevant clinical laboratory testing indicators in...
Humans Machine Learning Pandemics COVID-19 Neutrophils Cross-Sectional Studies Prognosis Lymphocytes Male Tomography, X-Ray Computed Middle Aged COVID-19 Testing Female Lung Lymphocyte Count Adult Severity of Illness Index Clinical Laboratory Techniques
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Plasma d-glutamate levels for detecting mild cognitive impairment and Alzheimer's disease: Machine learning approaches.

Journal of psychopharmacology (Oxford, England) Feb 15, 2021
BACKGROUND: d-glutamate, which is involved in N-methyl-d-aspartate receptor modulation, may be associated with cognitive ageing.
Middle Aged Severity of Illness Index Case-Control Studies Psychiatric Status Rating Scales Cognitive Dysfunction Aged Aged, 80 and over Sensitivity and Specificity Male Diagnosis, Differential Chromatography, High Pressure Liquid Alzheimer Disease Glutamic Acid Humans Machine Learning Algorithms Biomarkers Female
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Machine learning identifies candidates for drug repurposing in Alzheimer's disease.

Nature communications Feb 15, 2021
Clinical trials of novel therapeutics for Alzheimer's Disease (AD) have consumed a large amount of time and resources with largely negative results. Repurposing drugs already approved by the Food and Drug Administration (FDA) for another indication i...
Prescription Drugs Nootropic Agents Drugs, Investigational Alzheimer Disease Polypharmacology Neuroprotective Agents High-Throughput Screening Assays Nerve Tissue Proteins Humans Gene Expression Regulation Drug Repositioning Machine Learning Cerebral Cortex Neurons Severity of Illness Index Primary Cell Culture Gene Expression Profiling Pharmacogenetics
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Machine Learning-Based Automatic Rating for Cardinal Symptoms of Parkinson Disease.

Neurology Feb 10, 2021
OBJECTIVE: We developed and investigated the feasibility of a machine learning-based automated rating for the 2 cardinal symptoms of Parkinson disease (PD): resting tremor and bradykinesia.
Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Support Vector Machine Parkinson Disease Video Recording Machine Learning Automation Humans Female Hypokinesia Aged Tremor Male Middle Aged
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Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.

European journal of radiology Feb 6, 2021
PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston sco...
Algorithms Retrospective Studies Severity of Illness Index Deep Learning Calcinosis Humans Aortic Valve Stenosis Aortic Valve Calcium
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