The Academic Perspective Procedia publishes Academic Platform symposiums papers as three volumes in a year. DOI number is given to all of our papers.
Publisher : Academic Perspective

Journal DOI : 10.33793/acperpro
Journal eISSN : 2667-5862

Year :2021, Volume 4, Issue 1, Pages: 186-194
16.10.2021
Development of Decision Support System for Early Stage Diabetes Diagnosis Using Machine Learning and Deep Learning Methods: A Comprehensive Analysis
Caglar Gurkan, Sude Kozalioglu, Merih Palandoken,
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Keywords: Diyabet, karar destek sistemi, yapay zeka, makine öğrenmesi, derin öğrenme
Cite
  • BIBTEX
    @article{acperproISITES2021ID28, author={Gurkan, Caglar and Kozalioglu, Sude and Palandoken, Merih}, title={Development of Decision Support System for Early Stage Diabetes Diagnosis Using Machine Learning and Deep Learning Methods: A Comprehensive Analysis}, journal={Academic Perspective Procedia}, eissn={2667-5862}, volume={4}, year=2021, pages={186-194}}
  • APA
    Gurkan, C. , Kozalioglu, S. , Palandoken, M.. (2021). Development of Decision Support System for Early Stage Diabetes Diagnosis Using Machine Learning and Deep Learning Methods: A Comprehensive Analysis. Academic Perspective Procedia, 4 (1), 186-194. DOI: 10.33793/acperpro.04.01.28
  • ENDNOTE
    %0 Academic Perspective Procedia (ACPERPRO) Development of Decision Support System for Early Stage Diabetes Diagnosis Using Machine Learning and Deep Learning Methods: A Comprehensive Analysis% A Caglar Gurkan, Sude Kozalioglu, Merih Palandoken% T Development of Decision Support System for Early Stage Diabetes Diagnosis Using Machine Learning and Deep Learning Methods: A Comprehensive Analysis% D 16.10.2021% J Academic Perspective Procedia (ACPERPRO)% P 186-194% V 4% N 1% R doi: 10.33793/acperpro.04.01.28% U 10.33793/acperpro.04.01.28
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