AIMC Topic: Severity of Illness Index

Clear Filters Showing 811 to 820 of 851 articles

Artificial Intelligence for the Objective Evaluation of Acne Investigator Global Assessment.

Journal of drugs in dermatology : JDD Sep 1, 2018
INTRODUCTION: The evaluation of Acne using ordinal scales reflects the clinical perception of severity but has shown low reproducibility both intra- and inter-rater. In this study, we investigated if Artificial Intelligence trained on images of Acne ...
Humans Artificial Intelligence Female Reproducibility of Results Young Adult Child Image Interpretation, Computer-Assisted Observer Variation Acne Vulgaris Facial Dermatoses Adult Male Middle Aged Severity of Illness Index Adolescent
View on PubMed

Automated Segmentation and Quantification of Drusen in Fundus and Optical Coherence Tomography Images for Detection of ARMD.

Journal of digital imaging Aug 1, 2018
Age-related macular degeneration (ARMD) is one of the most common retinal syndromes that occurs in elderly people. Different eye testing techniques such as fundus photography and optical coherence tomography (OCT) are used to clinically examine the A...
Support Vector Machine Tomography, Optical Coherence Fundus Oculi Macular Degeneration Aged Male Middle Aged Humans Severity of Illness Index Female Decision Support Systems, Clinical
View on PubMed DOI

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...
Emotions Depressive Disorder, Major Severity of Illness Index Speech Humans Depression Neural Networks, Computer Magnetic Resonance Imaging
View on PubMed DOI

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...
Humans Machine Learning Intensive Care Units Severity of Illness Index Hospital Mortality APACHE
View on PubMed DOI

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...
Critical Care Documentation Hospital Mortality General Surgery Intensive Care Units ROC Curve Electronic Health Records United States Humans Severity of Illness Index Predictive Value of Tests Artificial Intelligence Length of Stay Natural Language Processing Retrospective Studies
View on PubMed

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.
Male Middle Aged Severity of Illness Index Deep Learning Microscopy, Confocal Adult Sensitivity and Specificity Cross-Sectional Studies Intraocular Pressure Vision Disorders Image Interpretation, Computer-Assisted Visual Fields Visual Field Tests Ophthalmoscopes Humans Glaucoma Retrospective Studies Female Reproducibility of Results Aged
View on PubMed DOI

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.
Humans Machine Learning Female Aged Male Voice Parkinson Disease Dopamine Agents Postural Balance Reaction Time Middle Aged Gait Severity of Illness Index Gait Analysis Smartphone Mobile Applications
View on PubMed DOI

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...
United States Europe Predictive Value of Tests Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Coronary Vessels Asia Computed Tomography Angiography Aged Male Middle Aged Severity of Illness Index Humans Deep Learning Prospective Studies Retrospective Studies Coronary Stenosis Female Fractional Flow Reserve, Myocardial Reproducibility of Results
View on PubMed DOI

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...
Time Factors Hospital Mortality Humans ROC Curve Electrocardiography Academic Medical Centers Decision Support Systems, Clinical Machine Learning Time-to-Treatment Age Factors Middle Aged Intensive Care Units Socioeconomic Factors Critical Illness Organ Dysfunction Scores Blood Pressure Comorbidity Electronic Health Records Vital Signs Heart Rate Severity of Illness Index Female Sex Factors Sepsis Aged Male
View on PubMed DOI

Research digest: progress in microvascular complications.

The lancet. Diabetes & endocrinology Feb 1, 2018
Humans Diabetic Angiopathies Disease Progression Diabetic Retinopathy Prevalence Machine Learning Severity of Illness Index Risk Factors Diabetes Mellitus, Type 2 Diabetic Nephropathies
View on PubMed DOI
Popular Topics
Recent Journals