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Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 5 No. 1 (2015)

DOI
10.11591/ijece.v5i1.pp78-83
ISSN
2088-8708, 2088-8708
Published
2015-02-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

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.

Collaboration network of the authors

40 authors · 60 co-authorship links · 13 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Gadjah Mada
  • Universitas Teknologi Yogyakarta
  • Universitas Stikubank
  • University of Indonesia
  • IPB University
  • State University of Semarang
  • Universitas Pendidikan Ganesha
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Aina MusdholifahUniversitas Gadjah Mada7
Edi WinarkoUniversitas Gadjah Mada7
Khabib MustofaUniversitas Gadjah Mada4
Edhy SutantaUniversitas Gadjah Mada4
Azhari AzhariUniversitas Gadjah Mada3
Edy WinarnoUniversitas Stikubank2
Aniati Murni ArymurthyUniversity of Indonesia2
Rahmat BudiarsaUniversitas Gadjah Mada2
Anny Kartika SariUniversitas Gadjah Mada2
Kridalaksana Harsa AwangAffiliation unknown1
Bangun WijayantoUniversitas Gadjah Mada1
Sri NurdiatiIPB University1
Decky HendarsyahUniversitas Gadjah Mada1
Jati Sasongko WibowoAffiliation unknown1
Zaenal AbidinState University of Semarang1
Aridhanyati ArifinAffiliation unknown1
Jamila JamilaAffiliation unknown1
Awaluddin AwaluddinAffiliation unknown1
Rio KurniawanUniversitas Gadjah Mada1
Yustina RetnoAffiliation unknown1
Rita WiryasaputraUniversitas Gadjah Mada1
Sri Fitri WahyuniAffiliation unknown1
Sherly JayantiAffiliation unknown1
Salahuddin SalahuddinUniversitas Gadjah Mada1
Putri Elfa Mas’udiaAffiliation unknown1
Abriyono AbriyonoAffiliation unknown1
I Gede Aris GunadiUniversitas Pendidikan Ganesha1
Rina PramitasariUniversitas Gadjah Mada1
Tedy RismawanUniversitas Gadjah Mada1
Muhammad Lhsan SaritaAffiliation unknown1
Rusdi EfendiAffiliation unknown1
Albert Dian SanoAffiliation unknown1
Abdul WahidInstitut Teknologi dan Sains Mandala1
Rocky Yefrenes DillakUniversitas Gadjah Mada1
Ikhwan RusliantoUniversitas Gadjah Mada1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Okt 2026, last seen 27 Okt 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Feature Selection of the Combination of Porous Trabecular with Anthropometric Features for Osteoporosis Screening</dc:title><dc:creator>Sela, Enny Itje</dc:creator><dc:creator>Hartati, Sri</dc:creator><dc:creator>Harjoko, Agus</dc:creator><dc:creator>Wardoyo, Retantyo</dc:creator><dc:creator>Mudjosemedi, Munakhir</dc:creator><dc:description>&lt;jats:p&gt;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.&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2015-02-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v5i1.pp78-83</dc:identifier><dc:identifier>10.11591/ijece.v5i1.pp78-83</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 5 No 1 (2015); 78</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/5619/4783</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>