AIMC Topic: Severity of Illness Index

Clear Filters Showing 411 to 420 of 837 articles

Detecting asthma exacerbations using daily home monitoring and machine learning.

The Journal of asthma : official journal of the Association for the Care of Asthma Aug 14, 2020
OBJECTIVE: Acute exacerbations contribute significantly to the morbidity of asthma. Recent studies have shown that early detection and treatment of asthma exacerbations leads to improved outcomes. We aimed to develop a machine learning algorithm to d...
Humans Machine Learning Budesonide Female Bronchodilator Agents Asthma Formoterol Fumarate Male Home Care Services Middle Aged Terbutaline Disease Progression Severity of Illness Index Drug Combinations Monitoring, Physiologic
View on PubMed DOI

Effect of vessel wall segmentation on volumetric and radiomic parameters of coronary plaques with adverse characteristics.

Journal of cardiovascular computed tomography Aug 10, 2020
BACKGROUND: Quantitative coronary plaque parameters are increasingly being utilized as surrogate endpoints of pharmaceutical trials. However, little is known whether differences in segmentation significantly alter parameter values.
Coronary Vessels Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Aged Humans Predictive Value of Tests Male Machine Learning Coronary Angiography Middle Aged Retrospective Studies Radiographic Image Interpretation, Computer-Assisted Severity of Illness Index Female Coronary Artery Disease Clinical Competence Reproducibility of Results Observer Variation
View on PubMed DOI

Automated Assessment of COVID-19 Reporting and Data System and Chest CT Severity Scores in Patients Suspected of Having COVID-19 Using Artificial Intelligence.

Radiology Jul 30, 2020
Background The coronavirus disease 2019 (COVID-19) pandemic has spread across the globe with alarming speed, morbidity, and mortality. Immediate triage of patients with chest infections suspected to be caused by COVID-19 using chest CT may be of assi...
Female Aged Male Middle Aged Severity of Illness Index Data Systems Thorax Artificial Intelligence COVID-19 Research Design Retrospective Studies Tomography, X-Ray Computed Humans
View on PubMed DOI

Machine Learning for Brain Stroke: A Review.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 28, 2020
Machine Learning (ML) delivers an accurate and quick prediction outcome and it has become a powerful tool in health settings, offering personalized clinical care for stroke patients. An application of ML and Deep Learning in health care is growing ho...
Deep Learning Prognosis Stroke Humans Support Vector Machine Tomography, X-Ray Computed Therapy, Computer-Assisted Machine Learning Severity of Illness Index Magnetic Resonance Imaging Decision Support Techniques Diagnosis, Computer-Assisted Predictive Value of Tests Brain Disability Evaluation
View on PubMed DOI

Deep transfer learning artificial intelligence accurately stages COVID-19 lung disease severity on portable chest radiographs.

PloS one Jul 28, 2020
This study employed deep-learning convolutional neural networks to stage lung disease severity of Coronavirus Disease 2019 (COVID-19) infection on portable chest x-ray (CXR) with radiologist score of disease severity as ground truth. This study consi...
Severity of Illness Index Deep Learning Radiologists Coronavirus Infections Pneumonia, Viral Humans Tomography, X-Ray Computed Artificial Intelligence Female Pandemics Male COVID-19 Middle Aged Lung
View on PubMed DOI

Prediction on critically ill patients: The role of "big data".

Journal of critical care Jul 23, 2020
Accurate outcome prediction in Intensive Care Units (ICUs) would allow for better treatment planning, risk adjustment of study populations, and overall improvements in patient care. In the past, prognostic models have focused on mortality using simpl...
Prognosis Humans Critical Illness Machine Learning Length of Stay Intensive Care Units Delivery of Health Care Hospital Mortality Electronic Health Records Critical Care Severity of Illness Index
View on PubMed DOI

Ischemia and outcome prediction by cardiac CT based machine learning.

The international journal of cardiovascular imaging Jul 4, 2020
Cardiac CT using non-enhanced coronary artery calcium scoring (CACS) and coronary CT angiography (cCTA) has been proven to provide excellent evaluation of coronary artery disease (CAD) combining anatomical and morphological assessment of CAD for card...
Humans Machine Learning Prognosis Plaque, Atherosclerotic Vascular Calcification Computed Tomography Angiography Coronary Angiography Reproducibility of Results Radiographic Image Interpretation, Computer-Assisted Risk Assessment Coronary Artery Disease Severity of Illness Index Heart Disease Risk Factors Predictive Value of Tests Coronary Vessels
View on PubMed DOI

Machine learning-based prediction of acute severity in infants hospitalized for bronchiolitis: a multicenter prospective study.

Scientific reports Jul 3, 2020
We aimed to develop machine learning models to accurately predict bronchiolitis severity, and to compare their predictive performance with a conventional scoring (reference) model. In a 17-center prospective study of infants (aged < 1 year) hospitali...
Decision Trees Predictive Value of Tests Positive-Pressure Respiration Bronchiolitis Infant Severity of Illness Index Cohort Studies Regression Analysis Humans Prospective Studies Machine Learning Intensive Care Units Female Hospitalization Male
View on PubMed DOI

Constructing an automatic diagnosis and severity-classification model for acromegaly using facial photographs by deep learning.

Journal of hematology & oncology Jul 3, 2020
Due to acromegaly's insidious onset and slow progression, its diagnosis is usually delayed, thus causing severe complications and treatment difficulty. A convenient screening method is imperative. Based on our previous work, we herein developed a new...
Acromegaly Photography Diagnostic Self Evaluation Models, Theoretical Cephalometry Datasets as Topic Face Algorithms Female Adult Sensitivity and Specificity Male Middle Aged Severity of Illness Index Diagnosis, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Humans
View on PubMed DOI

From CT to artificial intelligence for complex assessment of plaque-associated risk.

The international journal of cardiovascular imaging Jul 2, 2020
The recent technological developments in the field of cardiac imaging have established coronary computed tomography angiography (CCTA) as a first-line diagnostic tool in patients with suspected coronary artery disease (CAD). CCTA offers robust inform...
Humans Machine Learning Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Coronary Artery Disease Heart Disease Risk Factors Coronary Vessels Prognosis Reproducibility of Results Risk Assessment Severity of Illness Index Predictive Value of Tests Rupture, Spontaneous Plaque, Atherosclerotic Computed Tomography Angiography Coronary Stenosis
View on PubMed DOI
Popular Topics
Recent Journals