Machine learning technique in application and comparison in pediatric fracture healing time / Kedija Seid
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...
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Main Author: | Kedija , Seid |
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Format: | Thesis |
Published: |
2018
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Subjects: | |
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/ |
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