AIMC Topic: Decision Support Techniques

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Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions.

The lancet. Gastroenterology & hepatology Dec 6, 2018
Computer-aided diagnosis offers a promising solution to reduce variation in colonoscopy performance. Pooled miss rates for polyps are as high as 22%, and associated interval colorectal cancers after colonoscopy are of concern. Optical biopsy, whereby...
Humans Diagnosis, Computer-Assisted Deep Learning Spectrometry, Fluorescence Quality Control Intestinal Polyps Software Algorithms Decision Support Techniques Colorectal Neoplasms Colonoscopy
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Characterising risk of in-hospital mortality following cardiac arrest using machine learning: A retrospective international registry study.

PLoS medicine Nov 30, 2018
BACKGROUND: Resuscitated cardiac arrest is associated with high mortality; however, the ability to estimate risk of adverse outcomes using existing illness severity scores is limited. Using in-hospital data available within the first 24 hours of admi...
Humans Machine Learning Decision Support Techniques Databases, Factual Male Middle Aged Risk Assessment Time Factors Hospital Mortality Retrospective Studies Clinical Decision-Making Female Risk Factors Aged New Zealand Treatment Outcome Cardiopulmonary Resuscitation Heart Arrest Health Status Australia Registries
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Enhancing the prediction of acute kidney injury risk after percutaneous coronary intervention using machine learning techniques: A retrospective cohort study.

PLoS medicine Nov 27, 2018
BACKGROUND: The current acute kidney injury (AKI) risk prediction model for patients undergoing percutaneous coronary intervention (PCI) from the American College of Cardiology (ACC) National Cardiovascular Data Registry (NCDR) employed regression te...
Registries Percutaneous Coronary Intervention Data Mining Protective Factors Middle Aged Risk Assessment Time Factors Treatment Outcome Decision Support Techniques Retrospective Studies Acute Kidney Injury Clinical Decision-Making Female Reproducibility of Results Risk Factors Aged Male Humans Machine Learning
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Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning.

Evolutionary computation Oct 26, 2018
In this article, we build upon previous work on designing informative and efficient Exploratory Landscape Analysis features for characterizing problems' landscapes and show their effectiveness in automatically constructing algorithm selection models ...
Algorithms Decision Support Techniques Computer Simulation Benchmarking Information Storage and Retrieval Pattern Recognition, Automated Humans Machine Learning
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Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here.

Population health management Oct 2, 2018
An estimated 425 million people globally have diabetes, accounting for 12% of the world's health expenditures, and yet 1 in 2 persons remain undiagnosed and untreated. Applications of artificial intelligence (AI) and cognitive computing offer promise...
Retina Decision Support Techniques Self-Management Risk Assessment Diabetes Mellitus Humans Artificial Intelligence Forecasting
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An Approach to Determining Attribute Weights Based on Integrating Preference Information on Attributes with Decision Matrix.

Computational intelligence and neuroscience Oct 1, 2018
The interval multiple attribute decision-making problems are studied in this paper, where the preference information on attributes is expressed with preference orderings, linguistic terms, interval numbers, and inequality constraints among partial at...
Artificial Intelligence Decision Support Techniques Entropy Fuzzy Logic Linguistics Decision Making
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Detection of masses in mammograms using a one-stage object detector based on a deep convolutional neural network.

PloS one Sep 18, 2018
Several computer aided diagnosis (CAD) systems have been developed for mammography. They are widely used in certain countries such as the U.S. where mammography studies are conducted more frequently; however, they are not yet globally employed for cl...
Databases, Factual Female Breast Neoplasms Diagnosis, Computer-Assisted Deep Learning Mammography Humans Radiographic Image Interpretation, Computer-Assisted Neural Networks, Computer Decision Support Techniques
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Multiparametric ultrasomics of significant liver fibrosis: A machine learning-based analysis.

European radiology Sep 3, 2018
OBJECTIVE: To assess significant liver fibrosis by multiparametric ultrasomics data using machine learning.
Decision Trees Area Under Curve Hepatitis B, Chronic ROC Curve Logistic Models Liver Cirrhosis Support Vector Machine Neural Networks, Computer Machine Learning Algorithms Decision Support Techniques Prospective Studies Female Adult Male Middle Aged Humans Ultrasonography
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Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

Clinical and experimental rheumatology Aug 14, 2018
OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which specific and effective therapeutic interventions are still lacking. In this era of precision medicine, there is a clear need for a better definition of dis...
Data Mining Serologic Tests Sjogren's Syndrome Female Reproducibility of Results Risk Factors Aged Male Decision Support Techniques Phenotype Biomarkers Prognosis Lymphoma Diagnosis, Differential Humans Predictive Value of Tests Neural Networks, Computer Principal Component Analysis Autoantibodies Middle Aged Disease Progression Severity of Illness Index Diagnosis, Computer-Assisted
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Predicting Motor and Cognitive Improvement Through Machine Learning Algorithm in Human Subject that Underwent a Rehabilitation Treatment in the Early Stage of Stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Aug 2, 2018
BACKGROUND: The objective of this study was to investigate, in subject with stroke, the exact role as prognostic factor of common inflammatory biomarkers and other markers in predicting motor and/or cognitive improvement after rehabilitation treatmen...
Time Factors Cognition Treatment Outcome Longitudinal Studies Health Status Inpatients Recovery of Function Predictive Value of Tests Disability Evaluation Machine Learning Decision Support Techniques Biomarkers Female Male Humans Motor Skills Leukocyte Count Motor Activity Stroke Rehabilitation Stroke Hematocrit Inflammation Mediators Linear Models
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