Decision Support Techniques

Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.

Journal of acquired immune deficiency syndromes (1999) Feb 1, 2018

OBJECTIVE: Universal HIV screening programs are costly, labor intensive, and often fail to identify high-risk individuals. Automated risk assessment methods that leverage longitudinal electronic health records (EHRs) could catalyze targeted screening...

Electronic Health Records Female Infant, Newborn Risk Factors Aged Humans Algorithms Decision Support Techniques Cohort Studies Child, Preschool Child Mass Screening Middle Aged Natural Language Processing Aged, 80 and over Risk Assessment Automation Young Adult Infant New York City Adult Adolescent Male HIV Infections

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Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society Feb 1, 2018

In 2014, we reported a model for donor-recipient (D-R) matching in liver transplantation (LT) based on artificial neural networks (ANNs) from a Spanish multicenter study (Model for Allocation of Donor and Recipient in España [MADR-E]). The aim is to ...

Adult Male Middle Aged Risk Assessment Time Factors Decision Support Techniques Computer Simulation Female Reproducibility of Results Risk Factors Liver Transplantation Waiting Lists Liver Diseases Donor Selection Humans London Neural Networks, Computer Algorithms ROC Curve Tissue Donors Graft Survival Treatment Outcome Area Under Curve

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Machine Learning in Health Care.

National Bureau of Economic Research bulletin on aging and health Jan 1, 2018

Algorithms Decision Support Techniques Delivery of Health Care Risk Factors Myocardial Infarction Cost-Benefit Analysis Unnecessary Procedures Decision Making, Computer-Assisted Humans Machine Learning

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Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

Studies in health technology and informatics Jan 1, 2018

The integration of clinical information models and termino-ontological models into a unique ontological framework is highly desirable for it facilitates data integration and management using the same formal mechanisms for both data concepts and infor...

Knowledge Bases Biological Ontologies Humans Decision Support Techniques

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Machine learning and deep analytics for biocomputing: call for better explainability.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing Jan 1, 2018

The goals of this workshop are to discuss challenges in explainability of current Machine Leaning and Deep Analytics (MLDA) used in biocomputing and to start the discussion on ways to improve it. We define explainability in MLDA as easy to use inform...

Machine Learning Algorithms Decision Support Techniques Gene Expression Profiling Single-Cell Analysis Humans Neural Networks, Computer Artificial Intelligence Computational Biology Cluster Analysis

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Calibration drift in regression and machine learning models for acute kidney injury.

Journal of the American Medical Informatics Association : JAMIA Nov 1, 2017

OBJECTIVE: Predictive analytics create opportunities to incorporate personalized risk estimates into clinical decision support. Models must be well calibrated to support decision-making, yet calibration deteriorates over time. This study explored the...

Machine Learning Decision Support Techniques Acute Kidney Injury Clinical Decision-Making Female Aged Male Middle Aged Logistic Models United States Bayes Theorem Humans Hospitals, Veterans

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Neural networks as a tool to predict syncope risk in the Emergency Department.

Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology Nov 1, 2017

AIMS: There is no universally accepted tool for the risk stratification of syncope patients in the Emergency Department. The aim of this study was to investigate the short-term predictive accuracy of an artificial neural network (ANN) in stratifying ...

Italy Risk Factors Syncope Aged Cardiology Service, Hospital Predictive Value of Tests Aged, 80 and over Triage Adult Area Under Curve Male Emergency Service, Hospital Middle Aged Risk Assessment Time Factors ROC Curve Databases, Factual Humans Electrocardiography Prognosis Neural Networks, Computer Clinical Decision-Making Decision Support Techniques Female Reproducibility of Results

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Artificial neural network for prediction of in-hospital mortality after open repair of ruptured abdominal aortic aneurysm.

The Journal of cardiovascular surgery Oct 1, 2017

Predictive Value of Tests Humans Aortic Aneurysm, Abdominal Neural Networks, Computer Vascular Surgical Procedures Aortic Rupture Decision Support Techniques Time Factors Aged Hospital Mortality Databases, Factual Aged, 80 and over Retrospective Studies Treatment Outcome Male Female Health Status Middle Aged Reproducibility of Results Risk Assessment Risk Factors

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Predictive Analytics through Machine Learning in the clinical settings.

Computer methods and programs in biomedicine Jun 1, 2017

Electrophysiological Phenomena Labor Onset Decision Support Systems, Clinical Lung Neoplasms Computational Biology Decision Support Techniques Image Interpretation, Computer-Assisted Humans Prognosis Machine Learning Pregnancy Female Diagnosis, Computer-Assisted

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Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

American journal of pharmaceutical education Apr 1, 2017

To develop predictive computational models forecasting the academic performance of students in the didactic-rich portion of a doctor of pharmacy (PharmD) curriculum as admission-assisting tools. All PharmD candidates over three admission cycles wer...

Education, Pharmacy, Graduate Educational Status Humans School Admission Criteria Machine Learning Educational Measurement Schools, Pharmacy Forecasting Decision Making, Computer-Assisted Decision Support Techniques Students, Pharmacy Achievement

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AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment.

Validation of artificial neural networks as a methodology for donor-recipient matching for liver transplantation.

Machine Learning in Health Care.

Combining the Generic Entity-Attribute-Value Model and Terminological Models into a Common Ontology to Enable Data Integration and Decision Support.

Machine learning and deep analytics for biocomputing: call for better explainability.

Calibration drift in regression and machine learning models for acute kidney injury.

Neural networks as a tool to predict syncope risk in the Emergency Department.

Artificial neural network for prediction of in-hospital mortality after open repair of ruptured abdominal aortic aneurysm.

Predictive Analytics through Machine Learning in the clinical settings.

Computer-Assisted Decision Support for Student Admissions Based on Their Predicted Academic Performance.

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