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Performance Evaluation of Machine Learning and Deep Learning Models for Respiratory Disease Prediction

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Al-Azhar University – Gaza
Zarandah Q.M.M.; Daud S.M.; Abu-Naser S.S.
Zarandah, Qasem M. M. (58186837000); Daud, Salwani Mohd (60098646400); Abu-Naser, Samy S. (26533902900)
58186837000; 60098646400; 26533902900
2025
Lecture Notes in Networks and Systems
Performance Evaluation of Machine Learning and Deep Learning Models for Respiratory Disease Prediction
1363 LNNS
207
218
Bhateja V.; Rana M.E.; Tripathy H.K.; Senkerik R.
Springer Science and Business Media Deutschland GmbH
University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Zarandah Q.M.M., University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Daud S.M., University Malaysia of Computer Science and Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-5217-4_16
Deep learning; Feature extraction; Machine learning; Prediction; Respiratory
Intelligent systems; Learning algorithms; Learning systems; Pulmonary diseases; Accurate prediction; Condition; Deep learning; F1 scores; Features extraction; Learning models; Machine learning algorithms; Machine-learning; Performances evaluation; Respiratory; Deep learning; Feature extraction; Forecasting