A novel stacking framework with PSO optimized SVM for effective disease classification

S Arukonda, R Cheruku - Journal of Intelligent & Fuzzy …, 2023 - content.iospress.com
Disease diagnosis is very important in the medical field. It is essential to diagnose chronic
diseases such as diabetes, heart disease, cancer, and kidney diseases in the early stage. In …

Machine Learning Models for Histopathological Breast Cancer Image Classification

S Haines, E Eaton, ML Ali - 2023 IEEE World AI IoT Congress …, 2023 - ieeexplore.ieee.org
Breast cancer is among the most common forms of cancer, representing 30% of cancer
cases in the United States per year and is the leading cause of cancer-induced mortality …

Classification of Road Objects Using Convolutional Neural Networks

M Patel, H Elgazzar - 2023 IEEE 13th Annual Computing and …, 2023 - ieeexplore.ieee.org
Driving is the primary means of transportation for many people around the world. Whether
the use is to assist human drivers or create autonomous driving, the use of machine learning …

Fall Determinants in Older Adults

J Banerjee, J Gao, JM Saxe… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
Older adults commonly require special care and falling is a major reason for hospital
admission. Identifying the cause of falls would help enable precautionary measures to be …

A Comparative Study Of Heart Disease Prediction Using Tree-Based Ensemble Classification Techniques

Y Aldossary, M Ebrahim… - … Conference on Data …, 2022 - ieeexplore.ieee.org
In recent years, the prediction of heart disease has been one of the most complicated tasks
in the medical field. Approximately one person dies per minute due to heart disease in the …

[PDF][PDF] ВИКОРИСТАННЯ ДВОРІВНЕВОГО МЕТОДУ СТЕКОВОГО АНСАМБЛЮ ДЛЯ ПОКРАЩЕННЯ ТОЧНОСТІ ПРОГНОЗУВАННЯ УСПІШНОСТІ

В Пилипенко, В Стаценко - Наука і техніка сьогодні, 2024 - perspectives.pp.ua
Прогнозування академічної успішності студентів має вирішальне значення для
прийняття обґрунтованих рішень у навчальному процесі. Точний результат …