A This repository contains the source code and data for my PhD project, which is being conducted within the Engineering Field, specifically in the Faculty of Computing, and as part of the Doctor of Philosophy (Informatics Engineering) program. My research topic focuses on the prediction of thyroid diseases using machine learning techniques. Thyroid diseases are common endocrine disorders that affect millions of people worldwide, and early and accurate diagnosis is crucial for effective treatment and management. By leveraging the power of machine learning algorithms and the vast amount of data available, this project aims to develop a predictive model that can accurately identify the presence of thyroid diseases, thereby aiding healthcare professionals in making better-informed decisions and improving patient outcomes.
code/: Contains all source code files.data/: Contains datasets used in the project.docs/: Contains documentation and related materials.project: Contains the whole projects which is related to PhD
| No/Time | Author | Objective | Critical Review |
|---|---|---|---|
| 1/ 06-3-2023 | (Pal et al., 2022) | It highlights the importance of early detection for effective treatment of thyroid disorders, and how machine learning can aid in disease prediction and detection. The main objective of the study mentioned is to predict thyroid disease using machine learning classifiers. The text is organized into sections covering related work, methods, results, and conclusion. | The article discusses the comparison of three machine learning algorithms, namely KNN, Decision tree, and MLP for the prediction of thyroid disease. The results showed that MLP performed better in predicting thyroid disease compared to the other two algorithms, with an accuracy of 95.72% and an AUC of 94.23%. The study compared the proposed work with other existing studies and found that the proposed work performs better in the prediction of thyroid disease. The limitations of the ML classifiers were also discussed, and it was suggested that the used machine learning model could also be used for the classification of other chronic diseases with higher accuracy and diagnosis rate. The article concludes that using deep learning methods could further improve the accuracy of prediction of thyroid disease. |
This repository contains a list of my research papers. The following table provides a summary of the papers I have submitted:
| # | Title Paper | Journal |
|---|---|---|
| 1 | SLR Imbalance data | Baghdad Science Journal (Published😊😊) |
| 2 | SLR High Dimensional | Malaysian Journal of Fundamental and Applied Sciences () |
| 3 | Evaluating the Deep Swarm Optimization Neural Network (DSO-NN) for Thyroid Disease Prediction: A Novel Approach to Enhancing Predictive Analytics in Medicine | Applied Artificial Intelligence (IF 3.0) |
| 4 | Effective Techniques for Handling Missing Values in Thyroid Disease Diagnosis: A Comparative Analysis | Applied Computational Intelligence and Soft Computing (Q2) |
| 5 |
| No | Source Title | Index | APC | Issues per year | Link | Topics covered |
|---|---|---|---|---|---|---|
| 1 | International Journal of Modelling, Identification and Control | WoS & Scopus | No | 8 | Identification and control Neural network, fuzzy logic enhanced modelling | |
| 2 | International Journal of Computational Science and Engineering | WoS & Scopus | No | 6 | Applications Machine learning, statistics, deep learning and artificial intelligence | |
| 3 | International Journal of Intelligent Systems Technologies and Applications | WoS & Scopus | No | 4 | Artificial intelligence and knowledge based systems technologies | |
| 4 | PLoS One | WoS & Scopus | 1380$ | 12 | science, engineering, medicine, and the related social sciences and humanities | |
| 5 | Journal of King Saud University - Computer and Information Sciences | WoS (IF 8.839) & Scopus(Q1) | $1350 | 10 | Machine Learning, Natural Language Processing, Internet of Things, Bioinformatics, etc. | |
| 6 | International Journal of Medical Informatics | WoS (IF 4.73),Scopus(Q1) | 2900$ | 12 | artificial intelligence and, machine learning, hospital information systems, electronic medical record systems | |
| 7 | Malaysian Journal of Fundamental and Applied Sciences | WoS & Scopus | 630 RM | 6 | image processing, | |
| 8 | International Journal of Advanced Computer Science and Applications | WoS,Scopus | 550$ | Monthly | Computer Science | |
| 9 | Iranian Journal of Fuzzy Systems | WoS,Scopus Q1 | No Fee | February,April,June,August,October,December | artificial intelligence, control, robotics, data analysis, data mining, decision making |
- RStudio
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References
- Pal, M., Parija, S., & Panda, G. (2022). Enhanced Prediction of Thyroid Disease Using Machine Learning Method. Proceedings of IEEE VLSI DCS 2022: 3rd IEEE Conference on VLSI Device, Circuit and System, 2022(February), 199–204. https://doi.org/10.1109/VLSIDCS53788.2022.9811472