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Decision Support Techniques

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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 Risk Assessment Time Factors Hospital Mortality Treatment Outcome Health Status Australia Registries New Zealand Cardiopulmonary Resuscitation Heart Arrest Female Risk Factors Aged Decision Support Techniques Male Databases, Factual Middle Aged Retrospective Studies Clinical Decision-Making
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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...
Acute Kidney Injury Clinical Decision-Making Female Reproducibility of Results Risk Factors Treatment Outcome Humans Registries Machine Learning Percutaneous Coronary Intervention Decision Support Techniques Data Mining Retrospective Studies Protective Factors Aged Male Middle Aged Risk Assessment Time Factors
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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 ...
Decision Support Techniques Computer Simulation Benchmarking Information Storage and Retrieval Pattern Recognition, Automated Humans Machine Learning Algorithms
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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...
Risk Assessment Diabetes Mellitus Retina Humans Artificial Intelligence Forecasting Decision Support Techniques Self-Management
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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...
Entropy Artificial Intelligence Decision Support Techniques Linguistics Fuzzy Logic 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 Deep Learning Humans Neural Networks, Computer Female Mammography Decision Support Techniques Breast Neoplasms Radiographic Image Interpretation, Computer-Assisted Diagnosis, Computer-Assisted
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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.
Hepatitis B, Chronic Adult Male Middle Aged Ultrasonography ROC Curve Logistic Models Liver Cirrhosis Support Vector Machine Decision Trees Area Under Curve Machine Learning Algorithms Decision Support Techniques Prospective Studies Female Humans Neural Networks, Computer
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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...
Serologic Tests Sjogren's Syndrome Female Reproducibility of Results Risk Factors Diagnosis, Differential Humans Decision Support Techniques Middle Aged Aged Predictive Value of Tests Neural Networks, Computer Disease Progression Phenotype Male Principal Component Analysis Severity of Illness Index Biomarkers Autoantibodies Diagnosis, Computer-Assisted Prognosis Lymphoma Data Mining
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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...
Humans Motor Activity Machine Learning Stroke Rehabilitation Inpatients Time Factors Decision Support Techniques Recovery of Function Cognition Biomarkers Predictive Value of Tests Treatment Outcome Female Disability Evaluation Hematocrit Male Longitudinal Studies Stroke Inflammation Mediators Health Status Linear Models Motor Skills Leukocyte Count
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Enhanced neonatal surgical site infection prediction model utilizing statistically and clinically significant variables in combination with a machine learning algorithm.

American journal of surgery Jul 24, 2018
BACKGROUND: Machine-learning can elucidate complex relationships/provide insight to important variables for large datasets. This study aimed to develop an accurate model to predict neonatal surgical site infections (SSI) using different statistical m...
Risk Factors Male Risk Assessment Infant ROC Curve Algorithms Logistic Models Decision Support Techniques Humans Area Under Curve Retrospective Studies Machine Learning Surgical Wound Infection Female Infant, Newborn
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