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An Application of Logistic Regression Modeling to Predict Risk Factors for Bypass Graft Diagnosis in Erbil
Azhin M. Khudhur, Dler H. Kadir
57-63
2022-06-10
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p-ISSN: 2519-6979 
e-ISSN: 2707-6377
DOI: 10.24086/issn.2519-6979

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Keywords
  • Algorithms Analog signal Bypass Graft Communication signals Component COVID-19 Database Digital signal Dumpsite workers Dynamic programming Hepatitis B surface antigen Isolated nodes Management information system Mobile ad hoc network Modulation Neuro-fuzzy Web application Wireless sensor networks Zero-Crossing ZigBee Pro
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Cihan University-Erbil Scientific Journal (CUESJ); no article processing charge (APC).
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