[PDF][PDF] Machine Learning Techniques for Analyzing Survival Data of Breast Cancer Patients in Baghdad
NA Mohammed, EA Fadam - Journal of Economics and Administrative …, 2023 - iasj.net
The machine learning methods, which are one of the most important branches of promising
artificial intelligence, have a great importance in all sciences such as engineering, medical …
artificial intelligence, have a great importance in all sciences such as engineering, medical …
Machine learning methods based on mammogram images to estimate survival times for breast cancer patients
NA Mohammed, EA Fadam - Periodicals of Engineering and …, 2023 - pen.ius.edu.ba
Estimating survival times based on medical images resulting from radiological imaging of
some parts of the body affected by tumors and making a predictive system for them is …
some parts of the body affected by tumors and making a predictive system for them is …
APPLICATION OF SCALE CONJUGATE GRADIENT NEURAL NETWORK ALGORITHM FOR THE PREDICTION OF NOISE LEVEL IN INDUSTRIAL ZONE OF …
M Mishra, RK Thakur - International Journal of Agricultural & …, 2022 - search.ebscohost.com
Hidden layers are critical to the performance of neural network architecture, especially in
complicated issues where the accuracy and the time complexity are the main constraints …
complicated issues where the accuracy and the time complexity are the main constraints …