AIMC Topic: Aged

Clear Filters Showing 9871 to 9880 of 14227 articles

Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.

Ophthalmology. Glaucoma Apr 1, 2019
PURPOSE: To validate a deep residual learning algorithm to diagnose glaucoma from fundus photography using different fundus cameras at different institutes.
Humans Male Deep Learning ROC Curve Fundus Oculi Optic Disk Fluorescein Angiography Glaucoma Algorithms Female Aged Cross-Sectional Studies
View on PubMed DOI

Deep learning for identifying environmental risk factors of acute respiratory diseases in Beijing, China: implications for population with different age and gender.

International journal of environmental health research Mar 31, 2019
This study focuses on identifying environmental health risk factors related to acute respiratory diseases using deep learning method. Based on respiratory disease data, air pollution data and meteorological environmental data, cross-domain risk facto...
Beijing Respiratory Tract Diseases Air Pollutants Particulate Matter Environmental Exposure Weather Sex Factors Middle Aged Infant Deep Learning China Adolescent Incidence Child, Preschool Child Age Factors Acute Disease Aged Aged, 80 and over Young Adult Adult Male Humans Female Infant, Newborn Risk Factors
View on PubMed DOI

Simple Linear Support Vector Machine Classifier Can Distinguish Impaired Glucose Tolerance Versus Type 2 Diabetes Using a Reduced Set of CGM-Based Glycemic Variability Indices.

Journal of diabetes science and technology Mar 31, 2019
BACKGROUND: Many glycemic variability (GV) indices exist in the literature. In previous works, we demonstrated that a set of GV indices, extracted from continuous glucose monitoring (CGM) data, can distinguish between stages of diabetes progression. ...
Health Status Indicators Blood Glucose Reproducibility of Results Diabetes Mellitus, Type 2 Humans Aged Support Vector Machine Data Interpretation, Statistical Algorithms Blood Glucose Self-Monitoring Diagnosis, Differential Adult Female Datasets as Topic Predictive Value of Tests Male Glucose Intolerance Middle Aged Glycemic Control
View on PubMed DOI

Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.

European radiology Mar 29, 2019
OBJECTIVES: To evaluate a deep convolutional neural network (dCNN) for detection, highlighting, and classification of ultrasound (US) breast lesions mimicking human decision-making according to the Breast Imaging Reporting and Data System (BI-RADS).
Humans Neural Networks, Computer Algorithms Breast Neoplasms Middle Aged ROC Curve Ultrasonography, Mammary Image Interpretation, Computer-Assisted Retrospective Studies Clinical Decision-Making Female Aged Adult Observer Variation
View on PubMed DOI

Feature-weighted survival learning machine for COPD failure prediction.

Artificial intelligence in medicine Mar 28, 2019
Chronic obstructive pulmonary disease (COPD) yields a high rate of failures such as hospital readmission and death in the United States, Canada and worldwide. COPD failure imposes a significant social and economic burden on society, and predicting su...
Biomarkers Prognosis Retrospective Studies Survival Analysis Electronic Health Records Proportional Hazards Models Female Canada Humans Age Factors Male Machine Learning Predictive Value of Tests Middle Aged Sex Factors Severity of Illness Index Risk Factors Patient Readmission Time Factors Hospitalization ROC Curve Aged Aged, 80 and over Pulmonary Disease, Chronic Obstructive
View on PubMed DOI

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning.

The European respiratory journal Mar 28, 2019
Epidermal growth factor receptor (EGFR) genotyping is critical for treatment guidelines such as the use of tyrosine kinase inhibitors in lung adenocarcinoma. Conventional identification of EGFR genotype requires biopsy and sequence testing which is i...
Neoplasm Staging Mutation ErbB Receptors Adenocarcinoma of Lung Humans Middle Aged Deep Learning Neural Networks, Computer ROC Curve Retrospective Studies Image Processing, Computer-Assisted Computational Biology Tomography, X-Ray Computed Female Reproducibility of Results Aged Male
View on PubMed DOI

CytoProcessorTM: A New Cervical Cancer Screening System for Remote Diagnosis.

Acta cytologica Mar 28, 2019
BACKGROUND: Current automated cervical cytology screening systems still heavily depend on manipulation of glass slides. We developed a new system called CytoProcessorTM (DATEXIM, Caen, France), which increases sensitivity and takes advantage of virtu...
Adult Papanicolaou Test Sensitivity and Specificity Mass Screening Uterine Cervical Neoplasms Humans Early Detection of Cancer Artificial Intelligence Middle Aged Cytodiagnosis Female Adolescent Aged Young Adult
View on PubMed DOI

Machine learning for patient risk stratification for acute respiratory distress syndrome.

PloS one Mar 28, 2019
BACKGROUND: Existing prediction models for acute respiratory distress syndrome (ARDS) require manual chart abstraction and have only fair performance-limiting their suitability for driving clinical interventions. We sought to develop a machine learni...
Risk Assessment Respiratory Distress Syndrome Models, Statistical Machine Learning Female Aged Male Middle Aged Humans
View on PubMed DOI

Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning.

IEEE journal of biomedical and health informatics Mar 27, 2019
Prior research in falls risk classification using inertial sensors has relied on the use of engineered features, which has resulted in a feature space containing hundreds of features that are likely redundant and possibly irrelevant. In this paper, w...
Aged Aged, 80 and over Young Adult Adult Male Middle Aged Accidental Falls Adolescent ROC Curve Smartphone Signal Processing, Computer-Assisted Humans Accelerometry Neural Networks, Computer Female
View on PubMed DOI

Development of a machine learning algorithm predicting discharge placement after surgery for spondylolisthesis.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society Mar 27, 2019
PURPOSE: We aimed to develop a machine learning algorithm that can accurately predict discharge placement in patients undergoing elective surgery for degenerative spondylolisthesis.
Patient Discharge Spondylolisthesis Humans Machine Learning Algorithms Databases, Factual Female Aged Male Middle Aged Models, Statistical
View on PubMed DOI
Popular Topics
Recent Journals