Classification and prediction of diabetes disease using machine learning paradigm

M Maniruzzaman, MJ Rahman, B Ahammed… - … information science and …, 2020 - Springer
Background and objectives Diabetes is a chronic disease characterized by high blood
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack, etc …

A review of classification techniques based on neural networks for pulmonary obstructive diseases

R Dubey, RM Bodade - Proceedings of Recent Advances in …, 2019 - papers.ssrn.com
The automatic analysis of respiratory sound is of enormous challenge. The success of the
Automatic Classification of pulmonary obstructive diseases can carry a radical change in the …

[HTML][HTML] Kashif: A Chrome Extension for Classifying Arabic Content on Web Pages Using Machine Learning

M Aljabri, HS Altamimi, SA Albelali, M Al-Harbi… - Applied Sciences, 2024 - mdpi.com
Search engines are significant tools for finding and retrieving information. Every day, many
new web pages in various languages are added. The threats of cyberattacks are expanding …

Prediction of Oral Cancer Treatment Plan using Machine Learning

H Shah, Y Patil, R Patel - International Journal of Computer …, 2023 - cspub-ijcisim.org
Abstract Machine learning (ML) is a sub-branch of artificial intelligence (AI) that employs
statistical, optimization, and fuzzy techniques to learn from past data and detect patterns …

Human Everyday Experience Metric Recognition Based on Classifier Chains Using Heart Rate

S Kim, SH Ahn, MS Kim, M Lee… - 2024 15th International …, 2024 - ieeexplore.ieee.org
This study examines the potential of heart rate data from wearable devices to assess sleep
quality, emotional responses, and stress levels, among other sleep-related factors. There is …

Evaluating Feature Selection Methods in Machine Learning With Class Imbalance

M Asare - 2024 - search.proquest.com
Class imbalance is a common issue in various real-world machine learning applications
such as medical diagnosis and fraud detection, where one class significantly predominates …

[PDF][PDF] Logistic Regression based Feature Selection and Classification of Diabetes Disease using Machine Learning Paradigm

M Maniruzzaman, MJ Rahman… - Proceedings of the …, 2019 - researchgate.net
Background and objectives: Diabetes is a chronic disease characterized by high blood
sugar. It may cause many complicated disease like stroke, kidney failure, heart attack etc …