Machine learning technique in application and comparison in pediatric fracture healing time / Kedija Seid

• Main Author: Kedija , Seid
• Format: Thesis
• Published: 2018
• Subjects: Q Science (General); RJ Pediatrics
• Online Access: http://studentsrepo.um.edu.my/9375/1/Kedija_Seid.pdf; http://studentsrepo.um.edu.my/9375/6/kedija.pdf; http://studentsrepo.um.edu.my/9375/

Machine learning methods have been used in this study to analyze and predict the required healing time among pediatric orthopedic patients particularly for lower limb fracture. Random forest (RF), Self-Organizing Feature map (SOM), decision tree (DT), support vector machine (SVM) and Artificial Neur...