AIMC Topic: Predictive Value of Tests
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Artificial Intelligence-Based Assessment of Left Ventricular Filling Pressures From 2-Dimensional Cardiac Ultrasound Images.
JACC. Cardiovascular imaging
Jul 19, 2017
Identifying incipient dementia individuals using machine learning and amyloid imaging.
Neurobiology of aging
Jul 11, 2017
Identifying individuals destined to develop Alzheimer's dementia within time frames acceptable for clinical trials constitutes an important challenge to design studies to test emerging disease-modifying therapies. Although amyloid-β protein is the co...
Comparative Simulation Study of Glucose Control Methods Designed for Use in the Intensive Care Unit Setting via a Novel Controller Scoring Metric.
Journal of diabetes science and technology
Jun 22, 2017
BACKGROUND: Effective glucose control in the intensive care unit (ICU) setting has the potential to decrease morbidity and mortality rates and thereby decrease health care expenditures. To evaluate what constitutes effective glucose control, typicall...
Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.
Revista de saude publica
Jun 22, 2017
OBJECTIVE: Predict the number of hospitalizations for asthma and pneumonia associated with exposure to air pollutants in the city of São José dos Campos, São Paulo State.
Artificial intelligence in healthcare: past, present and future.
Stroke and vascular neurology
Jun 21, 2017
Artificial intelligence (AI) aims to mimic human cognitive functions. It is bringing a paradigm shift to healthcare, powered by increasing availability of healthcare data and rapid progress of analytics techniques. We survey the current status of AI ...
NIRCa: An artificial neural network-based insulin resistance calculator.
Pediatric diabetes
Jun 19, 2017
BACKGROUND: Direct measurement of insulin sensitivity in children with type 1 diabetes is cumbersome and time consuming.
Insulin Resistance
Adult
Puberty
Cross-Sectional Studies
Humans
Computational Biology
Male
Neural Networks, Computer
Diabetes Mellitus, Type 1
Predictive Value of Tests
Adolescent
Machine Learning
Hypertension
Diabetic Angiopathies
Child
Female
Random Allocation
Reproducibility of Results
Multivariate Analysis
Young Adult
Glucose Clamp Technique
Prehypertension
Natural Language Processing for Asthma Ascertainment in Different Practice Settings.
The journal of allergy and clinical immunology. In practice
Jun 19, 2017
BACKGROUND: We developed and validated NLP-PAC, a natural language processing (NLP) algorithm based on predetermined asthma criteria (PAC) for asthma ascertainment using electronic health records at Mayo Clinic.
Unlocking echocardiogram measurements for heart disease research through natural language processing.
BMC cardiovascular disorders
Jun 12, 2017
BACKGROUND: In order to investigate the mechanisms of cardiovascular disease in HIV infected and uninfected patients, an analysis of echocardiogram reports is required for a large longitudinal multi-center study.
Humans
Databases, Factual
Retrospective Studies
Data Mining
Automation
Pattern Recognition, Automated
Terminology as Topic
Veterans Health
Software Validation
Longitudinal Studies
Predictive Value of Tests
Natural Language Processing
Feasibility Studies
Heart Failure
Reproducibility of Results
Ventricular Function, Left
Stroke Volume
Echocardiography
HIV Infections
Radiomic machine-learning classifiers for prognostic biomarkers of advanced nasopharyngeal carcinoma.
Cancer letters
Jun 10, 2017
We aimed to identify optimal machine-learning methods for radiomics-based prediction of local failure and distant failure in advanced nasopharyngeal carcinoma (NPC). We enrolled 110 patients with advanced NPC. A total of 970 radiomic features were ex...
Diagnosis, Computer-Assisted
ROC Curve
Support Vector Machine
Magnetic Resonance Imaging
Predictive Value of Tests
Humans
Decision Support Techniques
Reproducibility of Results
Risk Factors
Risk Assessment
Treatment Failure
Nasopharyngeal Carcinoma
Nasopharyngeal Neoplasms
Area Under Curve
Carcinoma
High-Throughput Screening Assays
Image Interpretation, Computer-Assisted
Linear Models
Feature selective temporal prediction of Alzheimer's disease progression using hippocampus surface morphometry.
Brain and behavior
Jun 9, 2017
INTRODUCTION: Prediction of Alzheimer's disease (AD) progression based on baseline measures allows us to understand disease progression and has implications in decisions concerning treatment strategy. To this end, we combine a predictive multi-task m...
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