AI Medical Compendium Topic:
Severity of Illness Index

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Characterization and classification of asthmatic wheeze sounds according to severity level using spectral integrated features.

Computers in biology and medicine Nov 2, 2018
OBJECTIVE: This study aimed to investigate and classify wheeze sounds of asthmatic patients according to their severity level (mild, moderate and severe) using spectral integrated (SI) features.
Male Middle Aged Severity of Illness Index Support Vector Machine Signal Processing, Computer-Assisted Respiratory Sounds Humans Female Aged Adult Asthma
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Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFR): Impact of iterative and filtered back projection reconstruction techniques.

Journal of cardiovascular computed tomography Oct 26, 2018
BACKGROUND: The influence of computed tomography (CT) reconstruction algorithms on the performance of machine-learning-based CT-derived fractional flow reserve (CT-FFR) has not been investigated. CT-FFR values and processing time of two reconstructio...
Humans Machine Learning Retrospective Studies Female Reproducibility of Results Coronary Stenosis Fractional Flow Reserve, Myocardial Coronary Angiography Aged Radiographic Image Interpretation, Computer-Assisted Male Coronary Artery Disease Middle Aged Workflow Severity of Illness Index Coronary Vessels Predictive Value of Tests Computed Tomography Angiography
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Low vitamin D at ICU admission is associated with cancer, infections, acute respiratory insufficiency, and liver failure.

Nutrition (Burbank, Los Angeles County, Calif.) Oct 24, 2018
OBJECTIVES: Vitamin D deficiency may be associated with comorbidities and poor prognosis. However, this association in patients in the intensive care unit (ICU) has not been fully elucidated. The aim of this study was to investigate whether the serum...
Respiration, Artificial Infections Humans Aged Comorbidity Prognosis Vitamin D Adult Liver Failure Severity of Illness Index Critical Illness Organ Dysfunction Scores Vitamin D Deficiency Cross-Sectional Studies Time Factors Intensive Care Units C-Reactive Protein Male Patient Admission Hospital Mortality Female Acute Disease Middle Aged Respiratory Insufficiency Neoplasms APACHE
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Validation of deep-learning-based triage and acuity score using a large national dataset.

PloS one Oct 15, 2018
AIM: Triage is important in identifying high-risk patients amongst many less urgent patients as emergency department (ED) overcrowding has become a national crisis recently. This study aims to validate that a Deep-learning-based Triage and Acuity Sco...
Databases, Factual Retrospective Studies Republic of Korea Female Reproducibility of Results Risk Aged Emergency Medicine Humans Cohort Studies Adult Hospital Mortality ROC Curve Male Triage Middle Aged Area Under Curve Severity of Illness Index Emergency Service, Hospital Deep Learning
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3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects.

Journal of magnetic resonance imaging : JMRI Oct 10, 2018
BACKGROUND: Semiquantitative assessment of MRI plays a central role in musculoskeletal research; however, in the clinical setting MRI reports often tend to be subjective and qualitative. Grading schemes utilized in research are not used because they ...
False Positive Reactions Osteoarthritis, Knee Humans Cartilage, Articular Neural Networks, Computer Meniscus Retrospective Studies Anterior Cruciate Ligament Injuries Middle Aged Female Anterior Cruciate Ligament Severity of Illness Index Reproducibility of Results Anterior Cruciate Ligament Reconstruction ROC Curve Aged Imaging, Three-Dimensional Adult Magnetic Resonance Imaging Sensitivity and Specificity Male
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Identifying a neuroanatomical signature of schizophrenia, reproducible across sites and stages, using machine learning with structured sparsity.

Acta psychiatrica Scandinavica Sep 21, 2018
OBJECTIVE: Structural MRI (sMRI) increasingly offers insight into abnormalities inherent to schizophrenia. Previous machine learning applications suggest that individual classification is feasible and reliable and, however, is focused on the predicti...
Severity of Illness Index Image Processing, Computer-Assisted Magnetic Resonance Imaging Schizophrenia Gray Matter Humans Machine Learning Female Reproducibility of Results Adult Sensitivity and Specificity Male Middle Aged
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A machine learning-based model for 1-year mortality prediction in patients admitted to an Intensive Care Unit with a diagnosis of sepsis.

Medicina intensiva Sep 20, 2018
INTRODUCTION: Sepsis is associated to a high mortality rate, and its severity must be evaluated quickly. The severity of illness scores used are intended to be applicable to all patient populations, and generally evaluate in-hospital mortality. Howev...
Models, Statistical Area Under Curve Registries Male Middle Aged Severity of Illness Index Sepsis Time Factors ROC Curve Retrospective Studies Critical Illness Intensive Care Units Humans Female Machine Learning Aged Algorithms Forecasting
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Demographic and Symptomatic Features of Voice Disorders and Their Potential Application in Classification Using Machine Learning Algorithms.

Folia phoniatrica et logopaedica : official organ of the International Association of Logopedics and Phoniatrics (IALP) Sep 5, 2018
BACKGROUND: Studies have used questionnaires of dysphonic symptoms to screen voice disorders. This study investigated whether the differential presentation of demographic and symptomatic features can be applied to computerized classification.
Severity of Illness Index Age Factors Supervised Machine Learning Sex Factors Smoking Alcohol Drinking Symptom Assessment Wounds and Injuries Demography Vocal Cord Paralysis Voice Disorders Retrospective Studies Female Aged Adult Laryngeal Neoplasms Male Humans Voice Quality Middle Aged Neural Networks, Computer Glottis Algorithms
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Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver.

Radiology Sep 4, 2018
Purpose To develop and validate a deep learning system (DLS) for staging liver fibrosis by using CT images in the liver. Materials and Methods DLS for CT-based staging of liver fibrosis was created by using a development data set that included portal...
Humans Tomography, X-Ray Computed Female Reproducibility of Results Adult Male Radiographic Image Enhancement Middle Aged Severity of Illness Index Deep Learning Liver Cirrhosis Contrast Media Liver
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Robot-assisted gait training to reduce pusher behavior: A randomized controlled trial.

Neurology Aug 31, 2018
OBJECTIVE: To determine the effects of 2 weeks of intensive robot-assisted gait training (RAGT) on pusher behavior compared to nonrobotic physiotherapy (nR-PT).
Cerebral Hemorrhage Aged Humans Male Robotics Female Stroke Rehabilitation Severity of Illness Index Single-Blind Method Perceptual Disorders Treatment Outcome Gait Follow-Up Studies Brain Ischemia Posture Therapy, Computer-Assisted
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