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Artificial Intelligence for Diabetes Management and Decision Support: Literature Review

Journal of Medical Internet Research · 2018 · Vol. 20(5) · pp. e10775–e10775
Iván ContrerasJosep Vehı́

Abstract

We obtained evidence of an acceleration of research activity aimed at developing artificial intelligence-powered tools for prediction and prevention of complications associated with diabetes. Our results indicate that artificial intelligence methods are being progressively established as suitable for use in clinical daily practice, as well as for the self-management of diabetes. Consequently, these methods provide powerful tools for improving patients' quality of life.

Artificial Intelligence in HealthcareMachine Learning in HealthcareDiabetes Management and ResearchDecision support systemDiabetes mellitusComputer scienceDiabetes managementMedicinePsychologyData scienceArtificial intelligenceType 2 diabetes

MeSH terms

Machine LearningArtificial IntelligenceChronic DiseaseDecision Support TechniquesDiabetes MellitusHumansQuality of Life

Funding

  • European Commission
  • European Regional Development Fund
Citations
538
FWCI
79.99
field-weighted impact
References
146
Percentile
100%
vs. same field & year
Citations per year
References
Identification and control of dynamical systems using neural networks
IEEE Transactions on Neural Networks · 1990 · 7,989 citations
Diagnosis and Classification of Diabetes Mellitus
Diabetes Care · 2010 · 13,995 citations
Diagnosis and Classification of Diabetes Mellitus
Diabetes Care · 2009 · 5,412 citations
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