AI Medical Compendium Topic:
Severity of Illness Index

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Depression Severity Classification from Speech Emotion.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Major Depressive Disorder (MDD) is a common psychiatric illness. Automatically classifying depression severity using audio analysis can help clinical management decisions during Deep Brain Stimulation (DBS) treatment of MDD patients. Leveraging the l...
Humans Neural Networks, Computer Depressive Disorder, Major Severity of Illness Index Speech Depression Magnetic Resonance Imaging Emotions
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Evaluating ICU Clinical Severity Scoring Systems and Machine Learning Applications: APACHE IV/IVa Case Study.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2018
Clinical scoring systems have been developed for many specific applications, yet they remain underutilized for common reasons such as model inaccuracy and difficulty of use. For intensive care units specifically, the Acute Physiology and Chronic Heal...
APACHE Machine Learning Intensive Care Units Severity of Illness Index Hospital Mortality Humans
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Predicting Mortality in the Surgical Intensive Care Unit Using Artificial Intelligence and Natural Language Processing of Physician Documentation.

The American surgeon Jul 1, 2018
The purpose of this study was to use natural language processing of physician documentation to predict mortality in patients admitted to the surgical intensive care unit (SICU). The Multiparameter Intelligent Monitoring in Intensive Care III database...
Humans Artificial Intelligence Retrospective Studies Intensive Care Units United States Predictive Value of Tests Natural Language Processing Critical Care Documentation Electronic Health Records Severity of Illness Index Length of Stay Hospital Mortality ROC Curve General Surgery
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Deep-learning Classifier With an Ultrawide-field Scanning Laser Ophthalmoscope Detects Glaucoma Visual Field Severity.

Journal of glaucoma Jul 1, 2018
PURPOSE: To evaluate the accuracy of detecting glaucoma visual field defect severity using deep-learning (DL) classifier with an ultrawide-field scanning laser ophthalmoscope.
Visual Fields Visual Field Tests Ophthalmoscopes Cross-Sectional Studies Female Intraocular Pressure Severity of Illness Index Reproducibility of Results Male Humans Deep Learning Aged Middle Aged Glaucoma Microscopy, Confocal Adult Retrospective Studies Vision Disorders Sensitivity and Specificity Image Interpretation, Computer-Assisted
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Using Smartphones and Machine Learning to Quantify Parkinson Disease Severity: The Mobile Parkinson Disease Score.

JAMA neurology Jul 1, 2018
IMPORTANCE: Current Parkinson disease (PD) measures are subjective, rater-dependent, and assessed in clinic. Smartphones can measure PD features, yet no smartphone-derived rating score exists to assess motor symptom severity in real-world settings.
Machine Learning Female Aged Male Middle Aged Humans Reaction Time Gait Gait Analysis Severity of Illness Index Voice Smartphone Dopamine Agents Mobile Applications Parkinson Disease Postural Balance
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Diagnostic Accuracy of a Machine-Learning Approach to Coronary Computed Tomographic Angiography-Based Fractional Flow Reserve: Result From the MACHINE Consortium.

Circulation. Cardiovascular imaging Jun 1, 2018
BACKGROUND: Coronary computed tomographic angiography (CTA) is a reliable modality to detect coronary artery disease. However, CTA generally overestimates stenosis severity compared with invasive angiography, and angiographic stenosis does not necess...
Retrospective Studies Female Reproducibility of Results Coronary Vessels Aged Predictive Value of Tests Asia Male Humans Coronary Angiography Computed Tomography Angiography Prospective Studies Middle Aged Coronary Stenosis Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Fractional Flow Reserve, Myocardial Coronary Artery Disease Deep Learning United States Europe
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An Interpretable Machine Learning Model for Accurate Prediction of Sepsis in the ICU.

Critical care medicine Apr 1, 2018
OBJECTIVES: Sepsis is among the leading causes of morbidity, mortality, and cost overruns in critically ill patients. Early intervention with antibiotics improves survival in septic patients. However, no clinically validated system exists for real-ti...
Severity of Illness Index Sepsis Time Factors Hospital Mortality Humans ROC Curve Decision Support Systems, Clinical Socioeconomic Factors Electrocardiography Age Factors Machine Learning Blood Pressure Female Time-to-Treatment Critical Illness Aged Heart Rate Organ Dysfunction Scores Intensive Care Units Male Vital Signs Sex Factors Electronic Health Records Middle Aged Academic Medical Centers Comorbidity
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Research digest: progress in microvascular complications.

The lancet. Diabetes & endocrinology Feb 1, 2018
Humans Severity of Illness Index Diabetes Mellitus, Type 2 Diabetic Nephropathies Diabetic Angiopathies Diabetic Retinopathy Machine Learning Risk Factors Disease Progression Prevalence
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Disease Staging and Prognosis in Smokers Using Deep Learning in Chest Computed Tomography.

American journal of respiratory and critical care medicine Jan 15, 2018
RATIONALE: Deep learning is a powerful tool that may allow for improved outcome prediction.
Respiratory Distress Syndrome Predictive Value of Tests Databases, Factual Risk Assessment Smoking Prognosis Severity of Illness Index Respiratory Function Tests Humans Tomography, X-Ray Computed Deep Learning Female Logistic Models Aged Survival Rate Pulmonary Disease, Chronic Obstructive Male Middle Aged
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Diabetic macular edema grading in retinal images using vector quantization and semi-supervised learning.

Technology and health care : official journal of the European Society for Engineering and Medicine Jan 1, 2018
BACKGROUND: Diabetic macular edema (DME) is one of the severe complication of diabetic retinopathy causing severe vision loss and leads to blindness in severe cases if left untreated.
Humans Supervised Machine Learning Diabetic Retinopathy Macular Edema Sensitivity and Specificity Image Interpretation, Computer-Assisted Severity of Illness Index Exudates and Transudates
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