Araştırma Makalesi

A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract

Cilt: 5 Sayı: 2 31 Aralık 2021
Özerk Yavuz *
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International Scientific and Vocational Studies Journal Kapak International Scientific and Vocational Studies Journal
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A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract

Öz

In having a healthy life, right nutrition with a life style balanced with exercise constitutes and important value. This is mainly important for bodily functions that are provided by organs and systems of the body which is also valid for our digestion and excretion systems. In having a healthy life right nutrition with a life style balanced with exercise constitutes and important value. Digestion is one of the main functions of human metabolism that starts in mouth with mechanical and chemical reactions and ends with the expellsion of digestive residues from the anus, following the large intestine. Many hormones and enzymes have influence in the digestion of carbonhydrates, proteins and fats in the metabolism. With the key and luck structures that enzymes have and with the hormonal homeostasis that the metabolism have processing of different monomer and polimer structures are being handles. After the absorbation of digested food contents in duodenum and small intestine. Digestive residues are expelled from the anus, following the large intestine. If there is a malfunction in some part of the digestive system or characteristics of the food taken some digestive and excretion problems may occur. Some of these most known problems are constipation and hemorrhoids. In this phenemonelogical, single case study, some of the factors that have influence in defecation with development of constipation and hemorrhoids investigated with the aim of enhancing exploratory and confirmatory understanding for medical specialists and society at large.

Anahtar Kelimeler

Hemmoroids, Constipation, Eating Habits, Healthy Lifestyle, Clustering, Classification, Data Mining, Machine Learning, Quantitative Analysis, Supervised Learning, Unsupervised Learning

Kaynakça

  1. [1] https://www.health.harvard.edu/bladder-and-bowel/natural-ways-to-relieve-constipation
  2. [2] https://www.health.harvard.edu/diseases-and-conditions/hemorrhoids_and_what_to_do_about_them
  3. [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. [4] https://www.memorial.com.tr/saglik-rehberi/kabizlik-nedir-kabizliga-ne-iyi-gelir
  5. [5] https://www.medicalpark.com.tr/hemoroid/hg-1695
  6. [6] Nicolette, Linda. (2011). Constipation. Fundamentals of Pediatric Surgery. 453-459. 10.1007/978-1-4419-6643-8_58.
  7. [44] Venkatesan, E. V., 2015. Performance Analysis of Decision Tree Algorithms for Breast Cancer Classification. Indian Journal of Science and Technology.
  8. [45] Ławrynowicz, A., Tresp, V., 2014. Introducing Machine Learning. Perspectives on Ontology Learning. AKA Heidelberg /IOS Press.
  9. [46] Thomas, M., 2012. Root Mean Square Error Compared to, and Contrasted with, Standard Deviation. Surveying and Land Information Science, 72.

Ayrıntılar

Birincil Dil

İngilizce

Konular

Mühendislik

Bölüm

Araştırma Makalesi

Yazarlar

Yayımlanma Tarihi

31 Aralık 2021

Gönderilme Tarihi

27 Kasım 2021

Kabul Tarihi

1 Ocak 2022

Yayımlandığı Sayı

Yıl 2021 Cilt: 5 Sayı: 2

DOI

https://doi.org/10.47897/bilmes.1029171

IZ

https://izlik.org/JA43CN99LD

Kaynak Göster

RIS / Bibtex
APA
Yavuz, Ö. (2021). A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract. International Scientific and Vocational Studies Journal, 5(2), 254-265. https://doi.org/10.47897/bilmes.1029171
AMA
1.Yavuz Ö. A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract. ISVOS. 2021;5(2):254-265. doi:10.47897/bilmes.1029171
Chicago
Yavuz, Özerk. 2021. “A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract”. International Scientific and Vocational Studies Journal 5 (2): 254-65. https://doi.org/10.47897/bilmes.1029171.
EndNote
Yavuz Ö (01 Aralık 2021) A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract. International Scientific and Vocational Studies Journal 5 2 254–265.
IEEE
[1]Ö. Yavuz, “A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract”, ISVOS, c. 5, sy 2, ss. 254–265, Ara. 2021, doi: 10.47897/bilmes.1029171.
ISNAD
Yavuz, Özerk. “A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract”. International Scientific and Vocational Studies Journal 5/2 (01 Aralık 2021): 254-265. https://doi.org/10.47897/bilmes.1029171.
JAMA
1.Yavuz Ö. A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract. ISVOS. 2021;5:254–265.
MLA
Yavuz, Özerk. “A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract”. International Scientific and Vocational Studies Journal, c. 5, sy 2, Aralık 2021, ss. 254-65, doi:10.47897/bilmes.1029171.
Vancouver
1.Özerk Yavuz. A Classification and Clustering Approach Using Data Mining Techniques in Analysing Gastrointestinal Tract. ISVOS. 01 Aralık 2021;5(2):254-65. doi:10.47897/bilmes.1029171

Cited By

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