Feature selection, which picks the optimal subset of characteristics related to the target data by deleting unnecessary data, is one of the most important aspects of the machine learning …
A Rasool, C Bunterngchit, L Tiejian, MR Islam… - International journal of …, 2022 - mdpi.com
Breast cancer death rates are higher than any other cancer in American women. Machine learning-based predictive models promise earlier detection techniques for breast cancer …
Breast Cancer (BC) has become a critical illness with a high mortality rate during the previous decade. It is considered the women's most common cancer. In this paper, we …
Y Qin, M Huo, X Liu, SC Li - Frontiers in Immunology, 2024 - frontiersin.org
Numerous studies have shown that immune checkpoint inhibitor (ICI) immunotherapy has great potential as a cancer treatment, leading to significant clinical improvements in …
This paper proposes Combining the Advantages of Radiomic features based Feature Extraction and Hyper Parameters tuned Recalling Enhanced Recurrent Neural Network …
The evaluation of road safety is a critical issue having to be conducted for successful safety management in road transport systems, whereas safety management is considered in road …
B Hajipour Khire Masjidi, S Bahmani… - Computational …, 2022 - Wiley Online Library
Breast diseases are a group of diseases that appear in different forms. An entire group of these diseases is breast cancer. This disease is one of the most important and common …
V Jaiswal, P Saurabh, UK Lilhore, M Pathak… - Decision Analytics …, 2023 - Elsevier
Breast cancer is a major health issue for women all over the world. Effective care and better patient outcomes depend on early identification and precise risk prediction. Ensemble …
TA Assegie, PK Rangarajan, NK Kumar… - … Journal of Artificial …, 2022 - search.proquest.com
In recent years, machine learning is attaining higher precision and accuracy in clinical heart disease dataset classification. However, literature shows that the quality of heart disease …