Machine learning-based prediction of acute and complicated appendicitis using readily available data in low-resource settings

• Kimya Bahamin,

  Roles Data curation, Methodology, Writing – original draft

  Affiliation Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran

  ⨯
• Arya Derakhshesh ,

  Roles Conceptualization, Formal analysis, Methodology, Writing – review & editing

  * E-mail: arya.derakhshesh@yahoo.com (AD); dr-dehghan@umsha.ac.ir (AD)

  Affiliation Student Research Committee, Hamadan University of Medical Sciences, Hamadan, Iran

  https://orcid.org/0000-0001-6131-4810

  ⨯
• Mohammad Hossein Mahmoudi,

  Roles Formal analysis, Investigation, Software

  Affiliation Industrial Engineering Department, Sharif University of Technology, Tehran, Iran

  https://orcid.org/0009-0006-8223-926X

  ⨯
• Omid Kohandel Gargari,

  Roles Formal analysis, Methodology, Software, Writing – review & editing

  Affiliation Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran

  ⨯
• Mohammad Ali Takhshid,

  Roles Conceptualization, Writing – review & editing

  Affiliation Department of Laboratory Sciences, School of Paramedical Sciences, Shiraz University of Medical Sciences, Shiraz, Iran

  ⨯
• Mehdi Amirfazli,

  Roles Software, Visualization

  Affiliation School of Biological Sciences, Illinois State University, Normal, Illinois, United States of America

  https://orcid.org/0000-0002-3952-4851

  ⨯
• Arash Dehghan

  Roles Project administration, Supervision

  * E-mail: arya.derakhshesh@yahoo.com (AD); dr-dehghan@umsha.ac.ir (AD)

  Affiliation Department of Pathology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran

  ⨯