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Journals / İstatistik Araştırma Dergisi / 2011 / Cilt: 8 - Sayı: 1

Evaluation of Diagnostic Tests Performance by Using Kullback-Leibler Distance Approach and an Application with the Pulmonary Hypertension Data

Tanı Testlerinin Performanslarının Kullback-Leibler Uzaklığı Yaklaşımı ile Değerlendirilmesi ve Pulmoner Hipertansiyon Verileri ile Bir Uygulama

Umut ARSLAN
Ergun KARAAĞAOĞLU
Orçun ÇİFTÇİ
Necla ÖZER
Barış KAYA
Pages
59–70
Publication Date
2011-07-15
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This distance can be used for obtaining more detailed findings with respect to the performance of diagnostic tests when disease status has more than two classes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Introduction: In clinical medicine, different diagnostic tests may be used either to show the presence (ruling in) or absence (ruling out) of a certain disease.
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Key Findings & Data:New statistical methods have been developed for evaluating the performance of diagnostic tests.
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Conclusion & Impact:This distance can be used for obtaining more detailed findings with respect to the performance of diagnostic tests when disease status has more than two classes.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Doppler ekokardiyografi · İki boyutlu ekokardiyografi · Kullback-Leibler uzaklığı

Abstract

Introduction: In clinical medicine, different diagnostic tests may be used either to show the presence (ruling in) or absence (ruling out) of a certain disease. New statistical methods have been developed for evaluating the performance of diagnostic tests. The Kullback-Leibler (K-L) distance is a fundamental concept in information theory. This distance can be used for obtaining more detailed findings with respect to the performance of diagnostic tests when disease status has more than two classes.

Özet

Giriş: Klinik tıpta belirli bir hastalığın varlığını ya da yokluğunu göstermek için farklı tanı testleri kullanılabilir. Tanı testlerinin performanslarını değerlendirmek için yeni istatistiksel yöntemler geliştirilmektedir. Kullback-Leibler (K-L) uzaklığı bilgi kuramı içerisinde yer alan temel kavramlardan biridir. Bu uzaklık, hastalık durumu ikiden fazla sınıfa sahip olduğunda tanı testlerinin performansları ile ilgili daha detaylı bulgular elde etmek için kullanılabilir.

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Cite This Article

ARSLAN, U., KARAAĞAOĞLU, E., ÇİFTÇİ, O., ÖZER, N., KAYA, B. (2011). Evaluation of Diagnostic Tests Performance by Using Kullback-Leibler Distance Approach and an Application with the Pulmonary Hypertension Data. İstatistik Araştırma Dergisi, Cilt: 8 - Sayı: 1, 59–70. https://ajindex.com/articles/853650

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References (10)

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