AI powered asthma prediction towards treatment formulation : An android app approach

• Main Authors: Murad, Saydul Akbar, Adhikary, Apurba, Muzahid, Abu Jafar Md, Sarker, Md. Murad Hossain, Khan, Md. Ashikur Rahman, Hossain, Md. Bipul, Bairagi, Anupam Kumar, Masud, Mehedi, Kowsher, Md.
• Format: Article
• Language: English
• Published: Tech Science Press 2022
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software; TA Engineering (General). Civil engineering (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/34959/1/AI%20powered%20asthma%20prediction%20towards%20treatment%20formulation_An%20android%20app%20approach.pdf; http://umpir.ump.edu.my/id/eprint/34959/; https://doi.org/10.32604/iasc.2022.024777; https://doi.org/10.32604/iasc.2022.024777
• Institution: Universiti Malaysia Pahang

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...