Estimating Breathing Levels of Asthma Patients with Artificial Intelligence Methods

YÜKSEL A. S., Tan F. G.

International Conference on Intelligent and Fuzzy Systems, INFUS 2020, İstanbul, Türkiye, 21 - 23 Temmuz 2020, cilt.1197 AISC, ss.187-194, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1197 AISC
  • Doi Numarası: 10.1007/978-3-030-51156-2_23
  • Basıldığı Şehir: İstanbul
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.187-194
  • Anahtar Kelimeler: ANFIS, Artificial neural networks, Asthma, Normalization, Prediction
  • Manisa Celal Bayar Üniversitesi Adresli: Evet

Özet

Pollen contains highly allergic proteins. One of the major causes of allergic diseases is the pollen in the air we breathe. Asthma patients are known to show allergic reaction to pollens. Therefore, they need to be more careful and avoid the factors that trigger asthma. In this study, the first step was taken to develop an artificial-intelligence-based decision support system to improve the quality of life of asthma patients. Finding the ratio of pollen in nature is a long process, and it is measured by using different instruments and hours of calculations in laboratories. In this study, Adaptive Network-Based Fuzzy Extraction System (ANFIS) and normalization methods were applied to meteorological data to estimate the breathing levels of asthma patients according to the amount of pollen in the air. The data were tested via the Artificial Neural Networks method, and it was found that the model produced better results that are very close to real values when compared to the results in ANFIS.