TCTAP A-048 Neural Network Model as the Multidisciplinary Team Member in Clinical Decision Support to Avoid Medical Mistakes (aLYNX concept)

TCTAP A-048 Neural Network Model as the Multidisciplinary Team Member in Clinical Decision Support to Avoid Medical Mistakes (aLYNX concept)

Background The feedback is the essential part of any system. aLYNX concept is an idea to use some fuzzy logic algorithm, for example, a neural network model in decision-making system to avoid possible mistakes in a choice between PCI and CABG.

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Bibliographische Detailangaben
Veröffentlicht in:Journal of the American College of Cardiology 2017-04, Vol.69 (16), p.S25-S26
Hauptverfasser: Buzaev, Igor V, Plechev, Vladimir V, Nikolaeva, Irina E, Galimova, Rezida
Format: Artikel
Sprache:eng
Schlagworte:
Artificial intelligence
Cardiology
Cardiovascular
Clinical decision making
Computer simulation
Correlation coefficient
Correlation coefficients
Decision making
Decisions
Feedback
Fuzzy logic
Fuzzy systems
Heart
Heart surgery
Internal Medicine
Learning
Learning algorithms
Machine learning
Medical personnel
Neural networks
Patients
Physicians
Tactics
Training
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Beschreibung
Zusammenfassung:Background The feedback is the essential part of any system. aLYNX concept is an idea to use some fuzzy logic algorithm, for example, a neural network model in decision-making system to avoid possible mistakes in a choice between PCI and CABG.
ISSN:0735-1097
1558-3597
DOI:10.1016/j.jacc.2017.03.076