An artificial intelligence approach to predict infants' health status at birth.

Abstract

Authors

• Tua Halomoan Harahap
  Education of Mathematics, Universitas Muhammadiyah Sumatera Utara, Medan, Indonesia. Electronic address: tuaholomoan@umsu.ac.id.
• Sofiene Mansouri
  Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia. Electronic address: s.mansouri@psau.edu.sa.
• Omar Salim Abdullah
  Ministry of Education, Baqubah, Iraq; Bilad Alrafidain University College, Baquhah, Iraq. Electronic address: Dr.omersalim@bauc14.edu.iq.
• Herlina Uinarni
  Department of Anatomy, School of Medicine and Health Sciences Atma Jaya Catholic University of Indonesia, Indonesia; Radiology department of Pantai Indah Kapuk Hospital Jakarta, Jakarta, Indonesia. Electronic address: Dr.uinarniherlina@outlook.com.
• Shavan Askar
  Erbil Polytechnic University, Erbil Technical Engineering College, Information System Engineering Department, Erbil, Iraq. Electronic address: Shavan.askar@epu.edu.iq.
• Thaer L Jabbar
  College of Pharmacy, Al- Ayen University, Thi-Qar, Iraq. Electronic address: Thaer.lateef@alayen.edu.iq.
• Ahmed Hussien Alawadi
  Medical Laboratory Technique College, The Islamic University, Najaf, Iraq.; Medical Laboratory Technique College, The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq; Medical Laboratory Technique College, The Islamic University of Babylon, Babylon, Iraq. Electronic address: ahmedalawadi85@gmail.com.
• Aalaa Yaseen Hassan
  Al-Nisour University College, Baghdad, Iraq. Electronic address: alaa.y.english@nuc.edu.iq.

Keywords

External Resources