Diabetes Diagnosis And Level Of Care Fuzzy Rule-Based Model Utilizing Supervised Machine Learning For Classification And Prediction
A reliable medical decision-making is essential to diagnose a disease. This assists medical practitioners to detect a disease at early stage especially diabetes that causes further health complications. The diversity and availability of healthcare datasets supports medical practitioners to use com...
| Main Authors: | Mohd Aris, Teh Noranis, Abu Bakar, Azuraliza, Mahiddin, Normadiah, Zolkepli, Maslina |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Little Lion Scientific R&D
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/111491/ http://psasir.upm.edu.my/id/eprint/111491/1/JATIT%202024_27Vol102No6.pdf |
Similar Items
A fuzzy inference model for diagnosis of diabetes and level of care
by: Mohd Aris, Teh Noranis, et al.
Published: (2023)
by: Mohd Aris, Teh Noranis, et al.
Published: (2023)
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
by: Zolkepli, Maslina, et al.
Published: (2020)
by: Zolkepli, Maslina, et al.
Published: (2020)
A proposed approach for diabetes diagnosis using neuro-fuzzy technique
by: Alasaady, Maher Talal, et al.
Published: (2022)
by: Alasaady, Maher Talal, et al.
Published: (2022)
Fuzzy AHP in a knowledge-based framework for early flood warning
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)
by: Mohd Aris, Teh Noranis, et al.
Published: (2019)
Enhanced Supervised Fuzzy Clustering For Pattern Classification
by: Lim , Kian Ming
Published: (2010)
by: Lim , Kian Ming
Published: (2010)
In-depth review on machine learning models for long-term flood forecasting
by: Khairudin, Nazli Mohd, et al.
Published: (2022)
by: Khairudin, Nazli Mohd, et al.
Published: (2022)
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
An Ontology And Constraint-Based Approach For Dynamic Personalised Planning In Healthcare[QA75].
by: Mahiddin, Normadiah
Published: (2009)
by: Mahiddin, Normadiah
Published: (2009)
An Ontology And Constraint-based Approach For Dynamic Personalised Planning In Healthcare
by: Mahiddin , Normadiah
Published: (2009)
by: Mahiddin , Normadiah
Published: (2009)
On neuro-fuzzy applications for automatic control, supervision, and fault diagnosis for water treatment plant
by: Ariffin, Kasuma
Published: (2007)
by: Ariffin, Kasuma
Published: (2007)
Color QR code recognition utilizing neural network and fuzzy logic techniques
by: Badawi, Bakri, et al.
Published: (2017)
by: Badawi, Bakri, et al.
Published: (2017)
Fast multilayer color QR code decoder algorithm utilizing fuzzy technique
by: Badawi, Bakri, et al.
Published: (2020)
by: Badawi, Bakri, et al.
Published: (2020)
Fuzzy logic model for flood warning expert system integrating multi-agent and ontology
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)
by: Mohd Aris, Teh Noranis, et al.
Published: (2017)
Fuzzy rules base system for early self-diagnosis of dengue symptoms
by: Husin, Nor Azura, et al.
Published: (2018)
by: Husin, Nor Azura, et al.
Published: (2018)
A medical cyber-physical system utilizing the bayes algorithm for post-diagnosis patient supervision
by: Mizanur, Rahman, et al.
Published: (2024)
by: Mizanur, Rahman, et al.
Published: (2024)
Using fuzzy association rule mining in cancer classification
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
Object-Oriented Programming semantics representation utilizing agents
by: Mohd Aris, Teh Noranis
Published: (2011)
by: Mohd Aris, Teh Noranis
Published: (2011)
A hybrid supervised ANN for classification and data visualization
by: Chee, Siong Teh, et al.
Published: (2008)
by: Chee, Siong Teh, et al.
Published: (2008)
Flock optimization induced deep learning for improved diabetes disease classification
by: Balasubramaniyan, Divager, et al.
Published: (2023)
by: Balasubramaniyan, Divager, et al.
Published: (2023)
Improving brain tumor segmentation in MRI images through enhanced convolutional neural networks
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)
by: Ayomide, Kabirat Sulaiman, et al.
Published: (2023)
A new classification technique based on hybrid fuzzy soft set theory and supervised fuzzy c-means
by: Handaga, Bana
Published: (2013)
by: Handaga, Bana
Published: (2013)
Diagnosis, classification and prognosis of rotating machine using artificial intelligence
by: Mahamad, Abd Kadir
Published: (2010)
by: Mahamad, Abd Kadir
Published: (2010)
Integration of CNN and LSTM networks for behavior feature recognition: an analysis
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)
by: Aris, Teh Noranis Mohd, et al.
Published: (2024)
Enhancing supervised classifications with metamorphic relations
by: Xu, Liming, et al.
Published: (2018)
by: Xu, Liming, et al.
Published: (2018)
A novel hybrid supervised artificial neural network (ANN) for data visualization and classification to the application of mental disorder diagnosis
by: Md. Sarwar, Zahan Tapan
Published: (2008)
by: Md. Sarwar, Zahan Tapan
Published: (2008)
Challenges in supervised and unsupervised learning: a comprehensive overview
by: Almuqati, Mohammed Tuays, et al.
Published: (2024)
by: Almuqati, Mohammed Tuays, et al.
Published: (2024)
Fuzzy Rules Optimization in Fuzzy Expert System for
Machinability Data Selection: Genetic Algorithms Approach
by: Wong, Shaw Voon, et al.
Published: (2001)
by: Wong, Shaw Voon, et al.
Published: (2001)
Supervised ANN classification for engineering machined textures based on enhanced features extraction and reduction scheme
by: Ashour, Mohammed Waleed, et al.
Published: (2013)
by: Ashour, Mohammed Waleed, et al.
Published: (2013)
Rock melon crop yield prediction using supervised classification machine learning on cloud computing
by: Zakaria, Mohamad Khairul Zamidi, et al.
Published: (2024)
by: Zakaria, Mohamad Khairul Zamidi, et al.
Published: (2024)
Accurate and reliable diagnosis and classification using probabilistic ensemble simplified fuzzy ARTMAP
by: Loo, C.K., et al.
Published: (2005)
by: Loo, C.K., et al.
Published: (2005)
Ensemble neural networks with input optimization for flood forecasting
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
by: Mohd Khairudin, Nazli, et al.
Published: (2024)
Contrastive Self-Supervised Learning for Image Classification
by: Tan, Yong Le
Published: (2021)
by: Tan, Yong Le
Published: (2021)
Ontology based approach to Fuzzy student model design
by: Muhammad Sani, Salisu, et al.
Published: (2014)
by: Muhammad Sani, Salisu, et al.
Published: (2014)
Development of electromyography-controlled 3D printed robot hand and supervised machine learning for signal classification
by: Abdul Wahit, Mohamad Aizat
Published: (2019)
by: Abdul Wahit, Mohamad Aizat
Published: (2019)
The diagnosis of diabetic retinopathy by means of transfer learning with conventional machine learning pipeline
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)
by: Farhan Nabil, Mohd Noor, et al.
Published: (2020)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, D., et al.
Published: (2003)
by: Wang, D., et al.
Published: (2003)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, Dianhui, et al.
Published: (2003)
by: Wang, Dianhui, et al.
Published: (2003)
A methodology for automatic classification of breast cancer immunohistochemical data using semi-supervised fuzzy c-means
by: Lai, Daphne Teck Ching, et al.
Published: (2014)
by: Lai, Daphne Teck Ching, et al.
Published: (2014)
Proposal for ontology based approach to fuzzy student model design
by: Muhammad Sani, Salisu, et al.
Published: (2014)
by: Muhammad Sani, Salisu, et al.
Published: (2014)
Similar Items
-
A fuzzy inference model for diagnosis of diabetes and level of care
by: Mohd Aris, Teh Noranis, et al.
Published: (2023) -
Fuzzy AHP and TOPSIS in cross domain collaboration Recommendation with fuzzy visualization representation
by: Zolkepli, Maslina, et al.
Published: (2020) -
A proposed approach for diabetes diagnosis using neuro-fuzzy technique
by: Alasaady, Maher Talal, et al.
Published: (2022) -
Fuzzy AHP in a knowledge-based framework for early flood warning
by: Mohd Aris, Teh Noranis, et al.
Published: (2019) -
Enhanced Supervised Fuzzy Clustering For Pattern Classification
by: Lim , Kian Ming
Published: (2010)