A machine learning approach to differentiate between acute asthma and bronchitis in preschool children
[ X ]
Tarih
2022
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Altınbaş Üniversitesi / Lisansüstü Eğitim Enstitüsü
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Among the common diseases that affects the lower respiratory tract infections (LRTI) of children
around the world are acute asthma and bronchitis, it often occurs in preschool age and there are 12
clinical features overlapping between the two diseases, the most common of which are coughing,
wheezing, runny nose, and shortness of breath. therefore, most people do not distinguish between
two diseases, it is necessary to visit a specialist doctor to diagnose the cases and to receive the
appropriate treatment for each case , due of the large number of cases that increase during weather
fluctuations, such as high and low temperatures and environmental pollution such as fumes smoke
and dust, etc., which need an accurate diagnosis, many junior doctors working in emergency halls
face difficulties in diagnosing cases and the differentiation between the two diseases, so these
doctors’ resort to the consulting doctor to obtain a diagnosis that differentiates between the two
diseases. In this study, we presented 3 machine learning models ( K - NN , Decision Tree , MLP)
and 2 deep learning models ( 1D-CNN, LSTM ), where we trained this models on a text dataset
consisting of 512 real cases that collected by the consultant paediatrician at Fallujah Teaching
Hospital for Women and Children in Iraq during four months started in march 2022 to June 2022
and after using all modern methods the final results showed that the 1D-CNN outperformed the
rest of the models with an accuracy of (99.3506) and ROC – AUC ( 99.32 ) which was chosen as
a binary classifier to this study .
Açıklama
Anahtar Kelimeler
Machine Learning, Deep Learning, Acute Asthma, Acute Bronchitis
Kaynak
WoS Q Değeri
Scopus Q Değeri
Cilt
Sayı
Künye
Salih, Waleed Hameed Salih. (2022). A machine learning approach to differentiate between acute asthma and bronchitis in preschool children. (Yayınlanmamış yüksek lisans tezi). Altınbaş Üniversitesi, Lisansüstü Eğitim Enstitüsü, İstanbul.
