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AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach

Saydul Akbar Murad1, Apurba Adhikary2, Abu Jafar Md Muzahid1, Md. Murad Hossain Sarker3, Md. Ashikur Rahman Khan2, Md. Bipul Hossain2, Anupam Kumar Bairagi4,*, Mehedi Masud5, Md. Kowsher6

1 Faculty of Computing, Universiti Malaysia Pahang, 26600, Pekan, Pahang, Malaysia
2 Department of Information and Communication Engineering, Noakhali Science and Technology University (NSTU), Noakhali, Bangladesh
3 Department of Information and Communication Technology, Comilla University (CoU), Comilla, Bangladesh
4 Computer Science and Engineering Discipline, Khulna University, Khulna, 9208, Bangladesh
5 Department of Computer Science, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
6 Department of Computer Science, Stevens Institute of Technology, Hoboken, NJ 07030, USA

* Corresponding Author: Anupam Kumar Bairagi. Email: email

Intelligent Automation & Soft Computing 2022, 34(1), 87-103. https://doi.org/10.32604/iasc.2022.024777

Abstract

Asthma is a disease which attacks the lungs and that affects people of all ages. Asthma prediction is crucial since many individuals already have asthma and increasing asthma patients is continuous. Machine learning (ML) has been demonstrated to help individuals make judgments and predictions based on vast amounts of data. Because Android applications are widely available, it will be highly beneficial to individuals if they can receive therapy through a simple app. In this study, the machine learning approach is utilized to determine whether or not a person is affected by asthma. Besides, an android application is being created to give therapy based on machine learning predictions. To collect data, we enlisted the help of 4,500 people. We collect information on 23 asthma-related characteristics. We utilized eight robust machine learning algorithms to analyze this dataset. We found that the Decision tree classifier had the best performance, out of the eight algorithms, with an accuracy of 87%. TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.

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Cite This Article

APA Style
Murad, S.A., Adhikary, A., Muzahid, A.J.M., Sarker, M.M.H., Khan, M.A.R. et al. (2022). AI powered asthma prediction towards treatment formulation: an android app approach. Intelligent Automation & Soft Computing, 34(1), 87-103. https://doi.org/10.32604/iasc.2022.024777
Vancouver Style
Murad SA, Adhikary A, Muzahid AJM, Sarker MMH, Khan MAR, Hossain MB, et al. AI powered asthma prediction towards treatment formulation: an android app approach. Intell Automat Soft Comput . 2022;34(1):87-103 https://doi.org/10.32604/iasc.2022.024777
IEEE Style
S.A. Murad et al., "AI Powered Asthma Prediction Towards Treatment Formulation: An Android App Approach," Intell. Automat. Soft Comput. , vol. 34, no. 1, pp. 87-103. 2022. https://doi.org/10.32604/iasc.2022.024777



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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