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Browsing Articles by Subject "Decision tree"

Browsing Articles by Subject "Decision tree"

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  • Analysis of Bangla Transformation of Sentences Using Machine Learning 
    Das, Rajesh Kumar; Sammi, Samrina Sarkar; Kobra, Khadijatul; Ajmain, Moshfiqur Rahman; khushbu, Sharun Akter; Noori, Sheak Rashed Haider (Springer, 2023-04-17)
    In many languages, various language processing tools have been developed. The work of the Bengali NLP is getting richer day by day. Sentence pattern recognition in Bangla is a subject of attention. Additionally, our ...
  • Cardiovascular Disease Forecast Using Machine Learning Paradigms 
    Islam, Saiful; Jahan, Nusrat; Khatun, Mst. Eshita (Proceedings of the 4th International Conference on Computing Methodologies and Communication, ICCMC 2020, IEEE, 2020-04-23)
    In this recent era, Cardiovascular disease (CVD) propagation rate has been intensifying the cause of death worldwide among the non-communicable disease. In particular the south asian countries have a tremendous risk of ...
  • Cardiovascular Disease Forecast Using Machine Learning Paradigms 
    Islam, Saiful; Jahan, Nusrat; Khatun, Mst. Eshita (Proceedings of the 4th International Conference on Computing Methodologies and Communication, ICCMC 2020, IEEE, 2020-04-23)
    In this recent era, Cardiovascular disease (CVD) propagation rate has been intensifying the cause of death worldwide among the non-communicable disease. In particular the south asian countries have a tremendous risk of ...
  • A Comprehensive Study on Pre-pruning and Post-pruning Methods of Decision Tree Classification Algorithm 
    Shamrat, F.M.J.Mehedi; Chakraborty, S.; M.M., Billah; Das, P.; Muna, J.N; Ranjan, R. (5th International Conference on Trends in Electronics and Informatics (ICOEI 2021), Scopus, 2021)
    The decision tree is the most effective classification method. However, the results of the decision tree can show errors due to over fitting or if the data is too noisy. This may cause the tree to be too big with unnecessary ...
  • Expert Cancer Model Using Supervised Algorithms with a Lasso Selection Approach 
    Ghosh, Pronab; Karim, Asif; Atik, Syeda Tanjila; Afrin, Saima; Saifuzzaman, Mohd. (International Journal of Electrical and Computer Engineering (IJECE), Elsevier, 2021)
    One of the most critical issues of the mortality rate in the medical field in current times is breast cancer. Nowadays, a large number of men and women is facing cancer-related deaths due to the lack of early diagnosis ...
  • Heart Disease Prediction Using Supervised Machine Learning Algorithms 
    Ali, Md Mamun; Paul, Bikash Kumar; Ahmed, Kawsar; M.Bui, Francis; Quinn, Julian M.W.; Moni, Mohammad Ali (Computers in Biology and Medicine, 2021)
    Machine learning and data mining-based approaches to prediction and detection of heart disease would be of great clinical utility, but are highly challenging to develop. In most countries there is a lack of cardiovascular ...
  • Implementation of Machine Learning Algorithms to Detect the Prognosis Rate of Kidney Disease 
    Shamrat, F.M. Javed Mehedi; Ghosh, Pronab; Sadek, Mahbubul Hasan; Kazi, Md. Aslam; Shultana, Shahana (2020 IEEE International Conference for Innovation in Technology (INOCON) , IEEE, 2020-11)
    The chronic kidney disease is the loss of kidney function. Often time, the symptoms of the disease is not noticeable and a significant amount of lives are lost annually due to the disease. Using machine learning algorithm ...
  • Machine Learning Based Slow Learner Prediction in Educational Sector 
    Ela, N.N.; Jahan, N. (Proceedings of the 5th International Conference on Trends in Electronics and Informatics, Scopus, 2021)
    The educational sector has been proved to be a major sector where improvement measures are a must to develop the system and the curriculum which changes in every few years. Students state that in order to cope with the ...
  • Machine Learning Techniques for Depression Analysis on Social Media- Case Study on Bengali Community 
    Bhattacharjee, Debasish; Kawsher, Jamil; Labib, Md Shad; Latif, Subhenur (2020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA), IEEE, 2020-12)
    Depression is a prevalent illness in today’s society. It changes and influences our entire method of thought and our emotional, cognitive, and everyday behavioral behaviors. It affected over 264 million people, and the ...
  • A Novel Automated Feature Selection Based Approach To Recognize Cauliflower Disease 
    Shakil, Rashiduzzaman; Akter, Bonna; Shamrat, F M Javed Mehedi; Noor, Sheak Rashed Haider (Institute of Electrical and Electronics Engineers Inc., 2023-04-17)
    Cauliflower disease is a primary cause of reduced cauliflower yield. Preventing cauliflower disease requires early diagnosis. In the scope of this study, we suggested an agro-medical expert system that would make it easier ...
  • Predicting Fertilizer Treatment of Maize Using Decision Tree Algorithm 
    Jahan, Nusrat; Shahariar, Rezvi (Scopus, 2020)
    Machine learning approaches are progressively successful in image based analysis such as different diseases prediction as well as level of risk assessment. In this paper, image based data analysis with machine learning ...
  • Prediction of Pneumonia Disease of Newborn Baby Based on Statistical Analysis of Maternal Condition Using Machine Learning Approach 
    Hasan, Md. Mehedi; Faruk, Md. Omar; Biki, Bidesh Biswas; Riajuliislam, Md; Alam, Khairul; Shetu, Syeda Farjana (2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), IEEE, 2021-03-15)
    Pneumonia is one of the common diseases amongst children in Bangladesh. Many children die from pneumonia in Bangladesh. Pneumonia is an infection that infects the air sacs in one or both lungs. In Bangladesh, nearly 50,000 ...

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