Non-Invasive Cancer Detection Using Blood Test and Predictive Modeling Approach.

Journal: Advances and applications in bioinformatics and chemistry : AABC
Published Date:

Abstract

PURPOSE: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.

Authors

  • Ahmad S Tarawneh
    Department of Information Technology, Mutah University, Al-Karak, Jordan.
  • Ahmad K Al Omari
    Department of Nursing, Jordanian Royal Medical Services, Amman, Jordan.
  • Enas M Al-Khlifeh
    Department of Applied Biology, Al-Balqa Applied University, Salt, Jordan.
  • Fatimah S Tarawneh
    Department of Nursing, Princess Muna College of Nursing, Mutah University, Al-Karak, Jordan.
  • Mansoor Alghamdi
    Department of Computer Science, Applied College, University of Tabuk, Tabuk, Saudi Arabia.
  • Majed Abdullah Alrowaily
    Department of Computer Science, College of Computer and Information Sciences, Jouf University, Sakaka, Saudi Arabia.
  • Ibrahim S Alkhazi
    Department of Computer Science, College of Computers and Information Technology, University of Tabuk, Tabuk, Saudi Arabia.
  • Ahmad B Hassanat
    Department of Information Technology, Mutah University, Al-Karak, Jordan.

Keywords

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