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Rini, Setyo (2010) DETEKSI OSTEOPOROSIS DENGAN MENGGUNAKAN ALGORITMA BACKPROPAGATION. Other thesis, University of Muhammadiyah Malang.

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Many people think diseases that occur are considered trivial by the patient. Such as osteoporosis which is a joint disorder in which there is a change reduced the joint cartilage and bone hypertrophy occurs to form bone. Complaints joint pain usually indistinctly arise and attack only a few joints. With the knowledge and technological development so quickly, especially in computer technology now is not an alien or not a new thing anymore for the general public, the role of computer technology becomes a necessity. In the process of diagnosing a disease, particularly bone diseases can be seen by X-ray examination or radiological device known as X-ray use. disease diagnosis using neural network backpropagation algorithm will record the value of bone density of patients and will detect whether the patient prone to osteoporosis or not infected by input image scans of X-ray that can show the value of bone density levels and comparing images of contracting osteoporosis, cartilage osteoponia osteoporosis and bone of normal bone possessed the patient. It is expected that these applications can help and facilitate the patient's physician before examining further, so that patients can perform preventive action against osteoporosis. This application is made by using the Java programming language.

Item Type: Thesis (Other)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Department of Informatics (55201)
Depositing User: Halimatus Zahroh
Date Deposited: 17 Feb 2015 09:34
Last Modified: 17 Feb 2015 09:34

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