The Use of Fuzzy Linear Regression Modeling to Predict High-risk Symptoms of Lung Cancer in Malaysia
Lung cancer is the most prevalent cancer in the world, accounting for 12.2% of all newly diagnosed cases in 2020 and has the highest mortality rate due to its late diagnosis and poor symptom detection. Currently, there are 4,319 lung cancer deaths in Malaysia, representing 2.57 percent of all morta...
| Main Authors: | Zakaria, Aliya Syaffa, Shafi, Muhammad Ammar, Mohd Zim, Mohd Arif, Mohd Razali, Siti Noor Asyikin |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
ijacsa
2023
|
| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/9608/ http://eprints.uthm.edu.my/9608/1/J16130_cea67612256de5c7e9d725879c24c2f4.pdf |
Similar Items
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
by: Shafi, Muhammad Ammar
Published: (2015)
by: Shafi, Muhammad Ammar
Published: (2015)
Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer
by: Shafi, Muhammad Ammar
Published: (2020)
by: Shafi, Muhammad Ammar
Published: (2020)
Prediction in a hybrid of fuzzy linear regression with symmetric parameter model and fuzzy c-means method using simulation data
by: Shafi, Muhammad Ammar, et al.
Published: (2018)
by: Shafi, Muhammad Ammar, et al.
Published: (2018)
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
by: Shafi, Muhammad Ammar, et al.
Published: (2019)
by: Shafi, Muhammad Ammar, et al.
Published: (2019)
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)
Improvisation of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida
Published: (2018)
by: Ramly, Nurfarawahida
Published: (2018)
A new hybrid of fuzzy c-means method and fuzzy linear regression model in predicting manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2018)
by: Ramly, Nurfarawahida, et al.
Published: (2018)
Prediction Of PM10 Using Multiple Linear Regression And Boosted Regression Trees
by: Hamid, Nur Haziqah Mohd
Published: (2017)
by: Hamid, Nur Haziqah Mohd
Published: (2017)
Lung cancer stage-shift following a symptom awareness campaign
by: Kennedy, Martyn, et al.
Published: (2018)
by: Kennedy, Martyn, et al.
Published: (2018)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
An adjustment degree of fitting on fuzzy linear regression
model toward manufacturing income
by: Ramly, Nurfarawahida, et al.
Published: (2023)
by: Ramly, Nurfarawahida, et al.
Published: (2023)
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
K-means clustering analysis and multiple linear regression
model on household income in Malaysia
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
by: Gan Pei Yee, Gan Pei Yee, et al.
Published: (2023)
An enhanced feature representation based on linear regression model for stock market prediction
by: Ihlayyel, Hani, et al.
Published: (2018)
by: Ihlayyel, Hani, et al.
Published: (2018)
Lung Cancer Classification Using Stacking Framework of BiLSTM,
Logistic Regression, and XGBoost
by: Muhammad Nikho, Dwi Putra, et al.
Published: (2025)
by: Muhammad Nikho, Dwi Putra, et al.
Published: (2025)
Lung Cancer Prediction Model to Improve Survival Rates
by: Rakesh, Awati, et al.
Published: (2024)
by: Rakesh, Awati, et al.
Published: (2024)
Comparison between ANN and multiple linear regression models for prediction of warranty cost
by: Mohd Faaizie, Darmawan, et al.
Published: (2018)
by: Mohd Faaizie, Darmawan, et al.
Published: (2018)
Comparison between ANN and multiple linear regression models for prediction of warranty cost
by: Darmawan, Mohd Faaizie, et al.
Published: (2018)
by: Darmawan, Mohd Faaizie, et al.
Published: (2018)
Noise removal methodologies for lung cancer diagnosis
by: Nur Fatin Razlieya, Mohd Razali
Published: (2019)
by: Nur Fatin Razlieya, Mohd Razali
Published: (2019)
A technique of fuzzy C-Mean in multiple linear regression
model toward paddy yield
by: Wahab, Nur Syazwan, et al.
Published: (2018)
by: Wahab, Nur Syazwan, et al.
Published: (2018)
Depressive symptoms in newly diagnosed lung carcinoma: prevalence and associated risk factors
by: Koya Kutty, Shahedah, et al.
Published: (2019)
by: Koya Kutty, Shahedah, et al.
Published: (2019)
Local Linear Spatial Regression
by: Hallin, M., et al.
Published: (2004)
by: Hallin, M., et al.
Published: (2004)
Determination of linear tafel region from piecewise linear regression analysis
by: Mohamed Noor, Noraini, et al.
Published: (2014)
by: Mohamed Noor, Noraini, et al.
Published: (2014)
Performance comparison of haze prediction using chaos theory and multiple linear regression
by: Hazlina Darman,, et al.
Published: (2024)
by: Hazlina Darman,, et al.
Published: (2024)
Shrinking Lung Syndrome – A rare cause of recurrent dyspnoea in SLE / Hazlyna Baharuddin … [et al.]
by: Baharuddin, Hazlyna, et al.
Published: (2017)
by: Baharuddin, Hazlyna, et al.
Published: (2017)
JMASM41: An alternative method for multiple linear model regression modeling, a technical
combining of robust, bootstrap and fuzzy approach (SAS)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
by: Wan Ahmad, Wan Muhamad Amir, et al.
Published: (2016)
Prediction of engineering students’ academic performance using
neural network and linear regression / Pauziah Mohd Arsad
by: Mohd Arsad, Pauziah
Published: (2016)
by: Mohd Arsad, Pauziah
Published: (2016)
Prediction of engineering students' academic performance using neural network and linear regression / Pauziah Mohd Arsad
by: Mohd Arsad, Pauziah
Published: (2016)
by: Mohd Arsad, Pauziah
Published: (2016)
Multiple outliers detection procedures in linear regression
by: Adnan, Robiah, et al.
Published: (2003)
by: Adnan, Robiah, et al.
Published: (2003)
Web-based prediction system of restaurant popularity using linear regression / Aiman Zikri Mohd Zamri
by: Mohd Zamri, Aiman Zikri
Published: (2017)
by: Mohd Zamri, Aiman Zikri
Published: (2017)
Workplace safety risk assessment model based on fuzzy regression
by: Arbaiy, Nureize, et al.
Published: (2011)
by: Arbaiy, Nureize, et al.
Published: (2011)
Lung cancer in Pahang Malaysia
by: Ng, Teck Han, et al.
Published: (2009)
by: Ng, Teck Han, et al.
Published: (2009)
Lung cancer in Malaysia
by: Rajadurai, Pathmanathan, et al.
Published: (2020)
by: Rajadurai, Pathmanathan, et al.
Published: (2020)
Screening for Lung Cancer
by: McWilliams, A., et al.
Published: (2017)
by: McWilliams, A., et al.
Published: (2017)
Promoting help-seeking in response to symptoms amongst primary care patients at high risk of lung cancer: a mixed method study
by: Wagland, Richard, et al.
Published: (2016)
by: Wagland, Richard, et al.
Published: (2016)
Modeling Of A Stereo Vision System Using A Genetic Algorithm Based Fuzzy Linear Regression.
by: Hiaw, San Kho, et al.
Published: (2007)
by: Hiaw, San Kho, et al.
Published: (2007)
Development Of Construction Noise Prediction Method Using Linear Support Vector Regression Model
by: Gam, Li Juen
Published: (2021)
by: Gam, Li Juen
Published: (2021)
Prediction Of PM10 Concentration Using Multiple Linear Regression And Support Vector Machine
by: Zailan, Masezatti
Published: (2018)
by: Zailan, Masezatti
Published: (2018)
Prediction Of PM10 Concentration Using Multiple Linear Regression And Bayesian Model Averaging
by: Ismail, Hafizahizzati
Published: (2017)
by: Ismail, Hafizahizzati
Published: (2017)
Similar Items
-
Application of fuzzy linear regression models for predicting tumor size of colorectal cancer in Malaysia's Hospital
by: Shafi, Muhammad Ammar
Published: (2015) -
Two stages hybrid model of fuzzy linear regression with support vector machines for colorectal cancer
by: Shafi, Muhammad Ammar
Published: (2020) -
Prediction in a hybrid of fuzzy linear regression with symmetric parameter model and fuzzy c-means method using simulation data
by: Shafi, Muhammad Ammar, et al.
Published: (2018) -
A hybrid of multiple linear regression clustering model with support vector machine for colorectal cancer tumor size prediction
by: Shafi, Muhammad Ammar, et al.
Published: (2019) -
Comparison between fuzzy bootstrap weighted multiple linear regression and
multiple linear regression: a case study for oral cancer modelling
by: Mohd Ibrahim, Mohamad Shafiq, et al.
Published: (2018)