Comparison of prediction fuzzy modeling towards high-risk symptoms of lung cancer
Lung cancer constituted 12.2% of newly diagnosed cancer cases globally in 2020. The high fatality rate of the condition is attributed to delayed diagnosis and inadequate symptom recognition. In Malaysia, the incidence of lung cancer is estimated to be 1 in 60 males and 1 in 138 females, with a media...
Published in: | Journal of Intelligent and Fuzzy Systems |
---|---|
Main Author: | Zakaria A.S.; Shafi M.A.; Mohd Zim M.A.; Musa A.N. |
Format: | Article |
Language: | English |
Published: |
IOS Press BV
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85193707835&doi=10.3233%2fJIFS-233714&partnerID=40&md5=e8c82cebbfd6943f7e8bcca9bad354f8 |
Similar Items
-
The prediction of high-risk symptom for colorectal cancer using a new hybrid of fuzzy statistical machine learning approach
by: Shafi M.A.; Rusiman M.S.; Jamil S.A.M.; Zim M.A.M.
Published: (2024) -
Assessing lifetime occupational chrysotile inhalation exposure, respiratory symptoms, and lung cancer risk among brake maintenance workers in Malaysia
by: Yusof, et al.
Published: (2024) -
Assessing lifetime occupational chrysotile inhalation exposure, respiratory symptoms, and lung cancer risk among brake maintenance workers in Malaysia
by: Yusof M.Z.; Zahaba M.; Mohd Aris M.S.; Shafiee S.; Abdul Hadi H.; Maghpor M.N.; Noraini N.M.R.
Published: (2024) -
Survival analysis using censored lung cancer data: A preliminary study
by: Jamil S.A.M.; Ali N.I.; Mansor M.M.; Ul-Saufi A.Z.; Shafi M.A.
Published: (2024) -
Adjustment of the Height Triangular Fuzzy Regression as Early Awareness of Breast Cancer
by: Lidinillah Z.; Shafi M.A.; Rusiman M.S.; Nasibov E.; Abdul Rashid N.F.; Othman S.
Published: (2025)