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All Journal International Journal of Electrical and Computer Engineering Dentika Dental Journal MKGK (Majalah Kedokteran Gigi Klinik) (Clinical Dental Journal) UGM Majalah Kedokteran Gigi Indonesia Dental Journal (Majalah Kedokteran Gigi) Padjadjaran Journal of Dentistry Padjadjaran Journal of Dental Researchers and Students
Munakhir Mudjosemedi
Department Of Dentomaxillofacial Radiology, Faculty Of Dentistry, Universitas Gadjah Mada, Jl. Denta, Sekip Utara, Yogyakarta
Biochemistry, Genetics & Molecular Biology Computer Science & IT Dentistry Electrical & Electronics Engineering Health Professions Immunology & microbiology Medicine & Pharmacology Public Health

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Journal : International Journal of Electrical and Computer Engineering

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Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening Enny Itje Sela; Sri Hartati; Agus Harjoko; Retantyo Wardoyo; Munakhir Mudjosemedi
International Journal of Electrical and Computer Engineering (IJECE) Vol 5, No 1: February 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (346.894 KB) | DOI: 10.11591/ijece.v5i1.pp78-83

Abstract

This study aims to select the important features from the combination of porous trabecular pattern with anthropometric features for osteoporosis screening. The study sample has their bone mineral density (BMD) measured at the proximal femur/lumbar spine using dual-energy X-ray absorptiometry (DXA). Morphological porous features such as porosity, the size of porous, and the orientation of porous are obtained from each dental radiograph using digital image processing. The anthropometric features considered are age, height, weight, and body mass index (BMI). Decision tree (J.48 method) is used to evaluate the accuracy of morphological porous and anthropometric features for selection data. The study shows that the most important feature is age and the considered features for osteoporosis screening are porosity, vertical pore, and oblique pore. The decision tree has considerably high accuracy, sensitivity, and specificity.
Co-Authors Agus Harjoko Arif Faisal Deriputra, Gde Parama Wistara Dewi - Agustina Enny Itje Sela Ika Dewi Ana Indwiani Astuti Indwiani Astuti Isti Rahayu Suryani Iwan Dwi Prahasto Mitrayana - Ningtyas, Aini Hasibah Prihandita, Alifia Rizqy Ramadhania Purba, Theresia Alfi Ramadhani, Nabila Almira Ratihana Nurul Indias Rellyca Sola Gracea Retantyo Wardoyo Rona Aulianisa Rurie Ratna Shantiningsih Ryna Dwi Yanuaryska Sri Hartati Suparyono Saleh Suwaldi . Suwaldi Suwaldi Widyaningrum, Rini