A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract
Öz
Anahtar Kelimeler
Kaynakça
- [1] https://www.health.harvard.edu/bladder-and-bowel/natural-ways-to-relieve-constipation
- [2] https://www.health.harvard.edu/diseases-and-conditions/hemorrhoids_and_what_to_do_about_them
- [3] https://acikders.ankara.edu.tr/pluginfile.php/51851/mod_resource/content/0/F%C4%B0ZYOLOJ%C4%B0-%2010.%20S%C4%B0ND%C4%B0R%C4%B0M%20S%C4%B0STEM%C4%B0.pdf
- [4] https://www.memorial.com.tr/saglik-rehberi/kabizlik-nedir-kabizliga-ne-iyi-gelir
- [5] https://www.medicalpark.com.tr/hemoroid/hg-1695
- [6] Nicolette, Linda. (2011). Constipation. Fundamentals of Pediatric Surgery. 453-459. 10.1007/978-1-4419-6643-8_58.
- [44] Venkatesan, E. V., 2015. Performance Analysis of Decision Tree Algorithms for Breast Cancer Classification. Indian Journal of Science and Technology.
- [45] Ławrynowicz, A., Tresp, V., 2014. Introducing Machine Learning. Perspectives on Ontology Learning. AKA Heidelberg /IOS Press.
Ayrıntılar
Birincil Dil
İngilizce
Konular
Mühendislik
Bölüm
Araştırma Makalesi
Yazarlar
Özerk Yavuz
*
0000-0002-1371-688X
Türkiye
Yayımlanma Tarihi
31 Aralık 2021
Gönderilme Tarihi
27 Kasım 2021
Kabul Tarihi
1 Ocak 2022
Yayımlandığı Sayı
Yıl 2021 Cilt: 5 Sayı: 2