Predicting mechanical neck pain intensity in computer professionals using machine learning: identification and correlation of key features

• Main Authors: Fatima Khanum (Author), Abdur Raheem Khan (Author), Ashfaque Khan (Author), Aafreen Aafreen (Author), Akhlaque Ahmad Khan (Author), Ausaf Ahmad (Author), Syed Mohammad Fauzan Akhtar (Author), Omar Farooq (Author), Mohammad Abu Shaphe (Author), Mohammed M. Alshehri (Author), Fazal Imam Shahi (Author), Abdulfattah S. Alqahtani (Author), Ashwag Albakri (Author), Sakher M. Obaidat (Author)
• Format: Book
• Published: Frontiers Media S.A., 2024-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

IntroductionMechanical neck pain has become prevalent among computer professionals possibly because of prolonged computer use. This study aimed to investigate the relationship between neck pain intensity, anthropometric metrics, cervical range of motion, and related disabilities using advanced machi...