A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Asthma Diagnosis Using Neuro-Fuzzy Techniques
Asthma is one of the most common causes of respiratory diseases. By taking into consideration the possibility of this disease worsening over time and its negative impact on patients' daily activities, the continuous monitoring and managing of this disease has become a necessity. In this work, a system is proposed for Asthma diagnosis using adaptive neurofuzzy techniques. The proposed diagnosis system takes key parameters as input including Forced Expiratory Volume (FEVl), Peak Expiratory Flow Rate (PEF) and Forced Vital Capacity (FVC) and predicts Asthma severity condition. A mobile application that allows for easy interface between the patients and the analysis tool is also developed. The proposed system was trained and tested on patient records obtained from two hospitals. The proposed system was able to correctly classify Asthma severity conditions with an average accuracy of 97%.
Asthma Diagnosis Using Neuro-Fuzzy Techniques
Asthma is one of the most common causes of respiratory diseases. By taking into consideration the possibility of this disease worsening over time and its negative impact on patients' daily activities, the continuous monitoring and managing of this disease has become a necessity. In this work, a system is proposed for Asthma diagnosis using adaptive neurofuzzy techniques. The proposed diagnosis system takes key parameters as input including Forced Expiratory Volume (FEVl), Peak Expiratory Flow Rate (PEF) and Forced Vital Capacity (FVC) and predicts Asthma severity condition. A mobile application that allows for easy interface between the patients and the analysis tool is also developed. The proposed system was trained and tested on patient records obtained from two hospitals. The proposed system was able to correctly classify Asthma severity conditions with an average accuracy of 97%.
Asthma Diagnosis Using Neuro-Fuzzy Techniques
Ghosh, Aranyak (author) / Rahman, Nova (author) / Awadalla, Nagwa (author) / Sagahyroon, Assim (author) / Aloul, Fadi (author) / Dhou, Salam (author)
2020-02-01
364262 byte
Conference paper
Electronic Resource
English
Abutment scour depth modeling using neuro-fuzzy-embedded techniques
| Taylor & Francis Verlag | 2019
Energy Evaluation of Highway Construction Using Neuro-Fuzzy Techniques
| Tema Archive | 2012
Dynamic Morphing of Smart Trusses and Mechanisms Using Fuzzy and Neuro-Fuzzy Techniques
| DOAJ | 2019
House selling price assessment using two different adaptive neuro-fuzzy techniques
| British Library Online Contents | 2014
House selling price assessment using two different adaptive neuro-fuzzy techniques
| British Library Online Contents | 2014