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Journals / Bilgisayar Bilimleri / 2021 / Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı

Patent classification in intensive care unit using data mining methods

Veri madenciliği yöntemleri kullanarak yoğun bakım ünitesindeki hastaların sınıflandırması

Emine Coşkun(FIRAT UNIVERSITY)0000-0002-1365-6805
Esra Gündoğan(FIRAT UNIVERSITY, FACULTY OF ENGINEERING)0000-0001-7331-3348
Mehmet Kaya(FIRAT ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ)0000-0003-2995-8282
Reda Alhajj(ISTANBUL MEDIPOL UNIVERSITY)0000-0001-6657-9738
Pages
319–328
Publication Date
2021-10-20
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AI Summary & Key Takeaways

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

The study also includes a suggestion to increase the number of intensive care classes.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:This study has been prepared by considering the problems in the intensive care classification system used in Turkey.
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Key Findings & Data:In intensive care unit, patient care, patient follow-up, disease control and the cost of all these are procedures that have difficulties.
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Conclusion & Impact:The study also includes a suggestion to increase the number of intensive care classes.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:veri madenciliği · makine öğrenmesi · yoğun bakım

Abstract

This study has been prepared by considering the problems in the intensive care classification system used in Turkey. In intensive care unit, patient care, patient follow-up, disease control and the cost of all these are procedures that have difficulties. Facilitating the control of this system is one of the most important aims of this study. The study includes the application of data mining methods. It has been studied with real data of patients treated in intensive care units. Classification and clustering processes have been performed on these data by taking place class values as reference. The study also includes a suggestion to increase the number of intensive care classes.

Özet

Bu çalışma Türkiye’de kullanılan yoğun bakım basamaklandırma sistemindeki problemler göz önüne alınarak hazırlanmıştır. Yoğun bakımlarda hasta bakımı, hastaların takibi, hastalıkların kontrolü ve tüm bunların maliyeti, içinde zorluklar barındıran işlemlerdir. Bu sistemin kontrolünü kolaylaştırmak bu çalışmanın en önemli amaçlarındandır. Çalışma veri madenciliği yöntemlerinin uygulanmasını içermektedir. Yoğun bakımlarda tedavi gören hastaların gerçek verileri ile çalışılmıştır. Bu veriler üzerinde basamak değerleri referans alınarak sınıflandırma ve kümeleme işlemi yapılmıştır. Çalışma aynı zamanda yoğun bakım basamak sayısının arttırılması yönünde bir öneriyi içermektedir.

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Cite This Article

Coşkun, E., Gündoğan, E., Kaya, M., Alhajj, R. (2021). Patent classification in intensive care unit using data mining methods. Bilgisayar Bilimleri, Cilt: IDAP-2021 : 5th International Artificial Intelligence and Data Processing symposium Sayı: Special Özel Sayı, 319–328. https://doi.org/10.53070/bbd.990718

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