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Dergiler / The Journal of Cognitive Systems / 2020 / Volume: 5 Issue: 2

A PROPOSED MODEL CAN CLASSIFY THE COVID-19 PANDEMIC BASED ON THE LABORATORY TEST RESULTS

Şeyma Yaşar(INONU UNIVERSITY, FACULTY OF MEDICINE, DEPARTMENT OF BASIC MEDICAL SCIENCES, DEPARTMENT OF BIOSTATISTICS AND INFORMATICS MEDICINE)0000-0003-1300-3393
Cemil Çolak(INONU UNIVERSITY, FACULTY OF MEDICINE, DEPARTMENT OF BASIC MEDICAL SCIENCES, DEPARTMENT OF BIOSTATISTICS AND INFORMATICS MEDICINE)0000-0001-5406-098X
Sayfa
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Yayın Tarihi
2020-12-31
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

AI Insight
⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Besides, in the classification of Covid-19, it can be recommended to apply meta-learning algorithms as they can give high predictive results.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:As reported by the World Health Organization (WHO) in March 2020, COVID-19 is a worldwide epidemic.
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Temel Bulgular & Veri:Since the rapid spread of the epidemic harms humans, the need for methods that enable early diagnosis and treatment has increased.
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Sonuç & Katkı:Besides, in the classification of Covid-19, it can be recommended to apply meta-learning algorithms as they can give high predictive results.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:2020 Verileri
⚙️Değişkenler:COVID-19 · Machine Learning · CART

Abstract

As reported by the World Health Organization (WHO) in March 2020, COVID-19 is a worldwide epidemic. Since the rapid spread of the epidemic harms humans, the need for methods that enable early diagnosis and treatment has increased. Machine learning (ML) methods can play a vital role in identifying COVID-19 patients. In this study, the classification algorithms of ML methods (CART), Support Vector Machine (SVM-Radial), K Nearest Neighbors (K-NN) and Random Forest are used to determine the best model that diagnoses COVID-19 from the person's complete blood counts (positive/negative). According to the experimental results, the Random Forest algorithm gives the best predictions in the classification of COVID-19 (99.76% of accuracy). Besides, in the classification of Covid-19, it can be recommended to apply meta-learning algorithms as they can give high predictive results.

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Bu Makaleye Atıf Yap

Yaşar, Ş., Çolak, C. (2020). A PROPOSED MODEL CAN CLASSIFY THE COVID-19 PANDEMIC BASED ON THE LABORATORY TEST RESULTS. The Journal of Cognitive Systems, Volume: 5 Issue: 2. https://ajindex.com/articles/1551985

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