APPLICATION AREA OF CLASSIFICATION TECHNIQUES IN MEDICINE

Öz

Abstract

The health care industry produces a huge amount of data that collects complex patient and medical information.

Data mining is popular in various fields of research because of its applications and methodologies

to extract information correctly. Data mining techniques have the capabilities to find out veiled forms or relationships

among the objects in the medical data. In addition the most data mining algorithms that had

used in medical industry until this time are neural network including deep learning, SVM, Bayesian and fizzy

logic. The main reason of use these algorithms that because they are gave best results with high accuracy

with different type of medicine datasets. Finally, data mining continues with medicine industry to help people

with or solve different clinical problems.

Anahtar Kelimeler

• Data mining algorithms,Medicine,Classification

TIPTA SINIFLANDIRMA YÖNTEMLERİNİN UYGULAMA ALANLARI

Öz

Özet

Sağlık endüstrisi çok büyük miktarda veri üretmekte ve bu veriler karmaşık hasta ve sağlık bilgileri içermektedir.

Veri madenciliği, veriden bilgi çıkarma uygulaması olduğundan pek çok alanda çok popülerdir. Veri madenciliği

yöntemleri gerekli bilgi ve nesneleri medikal-tıbbi veriden çıkarılmak için de kullanılmaktadır. Bugüne

dek tıp alanında kullanılan veri madenciliği algoritmaları derin öğrenme, SVM, Bayes ve bulanık mantıktır.

Bunların kullanılmasındaki ana neden, farklı türdeki tıp verilerine çok doğru sonuçlar verebilme yetenekleridir.

Veri madenciliği tıp alanında insanlara yardım etmeye ve çeşitli klinik sorunları çözmeye devam edecektir.

Anahtar Kelimeler

• Veri madenciliği,Algoritmaları,Tıp,Sınıflandırma

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