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A machine learning approach on classifying orthopedic patients based on their biomechanical features

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dc.contributor.advisor Chakrabarty, Amitabha
dc.contributor.author Hasan, Kamrul
dc.contributor.author Islam, Safkat
dc.contributor.author Samio, Md. Mehfil Rashid Khan
dc.date.accessioned 2018-05-10T08:50:19Z
dc.date.available 2018-05-10T08:50:19Z
dc.date.copyright 2018
dc.date.issued 2018-04
dc.identifier.other ID 13101102
dc.identifier.other ID 13301099
dc.identifier.other ID 13101029
dc.identifier.uri http://hdl.handle.net/10361/10119
dc.description This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. en_US
dc.description Cataloged from PDF version of thesis.
dc.description Includes bibliographical references (pages 46-48).
dc.description.abstract A person’s orthopedic health condition can be detected from his biomechanical features. Application of machine learning algorithms in medical science is not new. Different algorithms are applied to detect diseases and classify patients accordingly. This paper aims to assist specialists to predict the type of orthopedic disease. In this paper we have applied various machine learning algorithms to find out which one works most accurately to detect and classify orthopedic patients. Each of the patients in the dataset is represented by six biomechanical attributes derived from the shape and orientation of pelvis and lumbar spine. We performed our operation in two stages and got an average accuracy of more than 90 percent for most of the algorithms, whereas Decision Tree (DT) algorithm stood out from the rest providing 99% accuracy. en_US
dc.description.statementofresponsibility Kamrul Hasan
dc.description.statementofresponsibility Safkat Islam
dc.description.statementofresponsibility Md. Mehfil Rashid Khan Samio
dc.format.extent 48 pages
dc.language.iso en en_US
dc.publisher BRAC University en_US
dc.rights BRAC University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Orthopedic en_US
dc.subject Health condition en_US
dc.subject Machine learning en_US
dc.subject Decision tree en_US
dc.subject Algorithm en_US
dc.title A machine learning approach on classifying orthopedic patients based on their biomechanical features en_US
dc.type Thesis en_US
dc.contributor.department Department of Computer Science and Engineering, BRAC University
dc.description.degree B. Computer Science and Engineering


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