AIMC Topic: Severity of Illness Index

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Machine learning assessment of myocardial ischemia using angiography: Development and retrospective validation.

PLoS medicine Nov 13, 2018
BACKGROUND: Invasive fractional flow reserve (FFR) is a standard tool for identifying ischemia-producing coronary stenosis. However, in clinical practice, over 70% of treatment decisions still rely on visual estimation of angiographic stenosis, which...
Clinical Decision-Making Republic of Korea Female Reproducibility of Results Aged Male Humans Machine Learning Prognosis Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Coronary Vessels Myocardial Ischemia Cardiac Catheterization Coronary Stenosis Fractional Flow Reserve, Myocardial Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Predictive Value of Tests Coronary Angiography Ultrasonography, Interventional
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Keratoconus severity identification using unsupervised machine learning.

PloS one Nov 6, 2018
We developed an unsupervised machine learning algorithm and applied it to big corneal parameters to identify and monitor keratoconus stages. A big dataset of corneal swept source optical coherence tomography (OCT) images of 12,242 eyes acquired from ...
Algorithms Female Aged Dilatation, Pathologic Cornea Male Humans Severity of Illness Index Unsupervised Machine Learning Principal Component Analysis Keratoconus
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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.
Respiratory Sounds Humans Female Aged Adult Asthma Male Middle Aged Severity of Illness Index Support Vector Machine Signal Processing, Computer-Assisted
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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...
Severity of Illness Index Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Workflow Female Reproducibility of Results Aged Male Middle Aged Coronary Vessels Computed Tomography Angiography Coronary Stenosis Fractional Flow Reserve, Myocardial Humans Machine Learning Retrospective Studies
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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...
Infections Liver Failure Organ Dysfunction Scores Patient Admission Respiration, Artificial Comorbidity Severity of Illness Index Time Factors Hospital Mortality Vitamin D Vitamin D Deficiency C-Reactive Protein Acute Disease Respiratory Insufficiency APACHE Aged Adult Cross-Sectional Studies Male Middle Aged Neoplasms Humans Prognosis Critical Illness Intensive Care Units Female
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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...
Emergency Medicine Hospital Mortality ROC Curve Triage Area Under Curve Emergency Service, Hospital Risk Male Middle Aged Severity of Illness Index Deep Learning Cohort Studies Retrospective Studies Republic of Korea Female Reproducibility of Results Aged Adult Humans Databases, Factual
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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 ...
Retrospective Studies Female Reproducibility of Results Aged Adult Sensitivity and Specificity Humans Neural Networks, Computer Anterior Cruciate Ligament Reconstruction Meniscus Magnetic Resonance Imaging False Positive Reactions Osteoarthritis, Knee Cartilage, Articular Anterior Cruciate Ligament Injuries Anterior Cruciate Ligament Male Middle Aged Severity of Illness Index ROC Curve Imaging, Three-Dimensional
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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...
Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Image Processing, Computer-Assisted Magnetic Resonance Imaging Schizophrenia Gray Matter Humans Machine Learning Female Reproducibility of Results
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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...
Area Under Curve Registries Severity of Illness Index Sepsis Time Factors ROC Curve Models, Statistical Humans Machine Learning Algorithms Forecasting Retrospective Studies Critical Illness Intensive Care Units Female Aged Male Middle Aged
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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.
Humans Neural Networks, Computer Algorithms Retrospective Studies Female Aged Adult Male Middle Aged Severity of Illness Index Age Factors Glottis Wounds and Injuries Demography Vocal Cord Paralysis Voice Disorders Laryngeal Neoplasms Voice Quality Supervised Machine Learning Sex Factors Smoking Alcohol Drinking Symptom Assessment
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