AI Medical Compendium Topic:
Severity of Illness Index

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A Machine Learning-Based Triage Tool for Children With Acute Infection in a Low Resource Setting.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies Dec 1, 2019
OBJECTIVES: To deploy machine learning tools (random forests) to develop a model that reliably predicts hospital mortality in children with acute infections residing in low- and middle-income countries, using age and other variables collected at hosp...
Child Hospital Mortality Age Factors Triage Developing Countries Infant Severity of Illness Index Adolescent Rwanda Child, Preschool Child Mortality Sex Factors Infections Vital Signs Humans Machine Learning Prospective Studies Prognosis Female Male
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Artificial intelligence in detecting early RA.

Seminars in arthritis and rheumatism Dec 1, 2019
To prevent chronicity of Rheumatoid Arthritis (RA) by early treatment, detecting inflammatory signs in an early phase is essential. Since Magnetic Resonance Imaging (MRI) of the wrist, hand and foot can detect inflammation before it is clinically det...
Artificial Intelligence Severity of Illness Index Arthritis, Rheumatoid Diagnostic Imaging Early Diagnosis Humans
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Relevant Features in Nonalcoholic Steatohepatitis Determined Using Machine Learning for Feature Selection.

Metabolic syndrome and related disorders Nov 1, 2019
We investigated the prevalence and the most relevant features of nonalcoholic steatohepatitis (NASH), a stage of nonalcoholic fatty liver disease, (NAFLD) in which the inflammation of hepatocytes can lead to increased cardiovascular risk, liver fibr...
Prognosis Retrospective Studies Female Aged Adult Humans Machine Learning Algorithms Hypertension Metabolic Syndrome Decision Making Non-alcoholic Fatty Liver Disease Disease Progression Sensitivity and Specificity Prevalence Cross-Sectional Studies Severity of Illness Index Male Diabetes Mellitus, Type 2 Middle Aged Liver Cirrhosis
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An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Journal of the National Cancer Institute Sep 1, 2019
BACKGROUND: Human papillomavirus vaccination and cervical screening are lacking in most lower resource settings, where approximately 80% of more than 500 000 cancer cases occur annually. Visual inspection of the cervix following acetic acid applicati...
Mass Screening Cervix Uteri Early Detection of Cancer Population Surveillance Area Under Curve Middle Aged Severity of Illness Index Case-Control Studies Deep Learning Image Processing, Computer-Assisted Uterine Cervical Dysplasia Colposcopy Humans Algorithms Female Aged Aged, 80 and over Young Adult Adult Sensitivity and Specificity Uterine Cervical Neoplasms
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An artificial neural network model for clinical score prediction in Alzheimer disease using structural neuroimaging measures.

Journal of psychiatry & neuroscience : JPN Jul 1, 2019
BACKGROUND: The development of diagnostic and prognostic tools for Alzheimer disease is complicated by substantial clinical heterogeneity in prodromal stages. Many neuroimaging studies have focused on case–control classification and predicting conver...
Proof of Concept Study Longitudinal Studies Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Cerebral Cortex Aged, 80 and over Cross-Sectional Studies Male Severity of Illness Index Humans Neural Networks, Computer Female Reproducibility of Results Aged
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Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs.

Journal of digital imaging Jun 1, 2019
Osteoarthritis (OA) classification in the knee is most commonly done with radiographs using the 0-4 Kellgren Lawrence (KL) grading system where 0 is normal, 1 shows doubtful signs of OA, 2 is mild OA, 3 is moderate OA, and 4 is severe OA. KL grading ...
Severity of Illness Index Predictive Value of Tests Datasets as Topic Automation Osteoarthritis, Knee Neural Networks, Computer Humans Algorithms Female Male Middle Aged
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Burn wound classification model using spatial frequency-domain imaging and machine learning.

Journal of biomedical optics May 1, 2019
Accurate assessment of burn severity is critical for wound care and the course of treatment. Delays in classification translate to delays in burn management, increasing the risk of scarring and infection. To this end, numerous imaging techniques have...
Reproducibility of Results Sensitivity and Specificity Animals Swine Severity of Illness Index Support Vector Machine Wound Healing Color Skin Burns Machine Learning Software Algorithms Light Calibration Optical Imaging Optics and Photonics
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The economic cost of robotic rehabilitation for adult stroke patients: a systematic review.

JBI database of systematic reviews and implementation reports Apr 1, 2019
OBJECTIVE: The objective of this review was to examine the economic cost of robotic therapy compared to conventional therapy for adult stroke patients, from the perspective of hospitals.
Survivors Stroke Rehabilitation Stroke Cost-Benefit Analysis Upper Extremity Physical Therapy Modalities Middle Aged Humans Severity of Illness Index Female Case-Control Studies Aged Treatment Outcome Aged, 80 and over Robotics Adult Male
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Liver and Lung Transplant Advances.

JAMA Mar 12, 2019
Severity of Illness Index Liver Transplantation Delayed Graft Function Lung Transplantation Humans Waiting Lists Cell-Free Nucleic Acids Machine Learning End Stage Liver Disease Graft Rejection Prognosis Lung Diseases Female Male
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Angiography-Based Machine Learning for Predicting Fractional Flow Reserve in Intermediate Coronary Artery Lesions.

Journal of the American Heart Association Feb 19, 2019
Background An angiography-based supervised machine learning ( ML ) algorithm was developed to classify lesions as having fractional flow reserve ≤0.80 versus >0.80. Methods and Results With a 4:1 ratio, 1501 patients with 1501 intermediate lesions we...
Imaging, Three-Dimensional Female Coronary Angiography Male Humans Coronary Vessels Middle Aged Coronary Stenosis Machine Learning Severity of Illness Index Fractional Flow Reserve, Myocardial Algorithms ROC Curve Retrospective Studies
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