รหัสดีโอไอ

รหัสดีโอไอ 10.14458/RSU.res.2023.103
Title Using Machine Learning Models And Principal Component Analysis To Identify Critical Diagnostic Variables For Breast Cancer Cells
Creator Suejit Pechprasarn
Contributor Suejit Pechprasarn, Ohmthong Wattanapermpool, Maninya Warunlawan, Pornchaya Homsud, Thumpussorn Akarajarasroj
Publisher Rangsit University
Publication Year 2023
Keyword classification of malignant and benign cells, breast cancer classification, principal component analysis, complexity-reduced model, machine learning, intelligent diagnostic software
ISBN 978-616-421-175-9
Language EN
URL Website https://rsucon.rsu.ac.th/
ดิจิตอลไฟล์ Digital File

บรรณานุกรม

Suejit Pechprasarn และผู้แต่งคนอื่นๆ. (2023) Using Machine Learning Models And Principal Component Analysis To Identify Critical Diagnostic Variables For Breast Cancer Cells. Rangsit University:ม.ป.ท.
Suejit Pechprasarn และผู้แต่งคนอื่นๆ. 2023. Using Machine Learning Models And Principal Component Analysis To Identify Critical Diagnostic Variables For Breast Cancer Cells. ม.ป.ท.:Rangsit University;
Suejit Pechprasarn และผู้แต่งคนอื่นๆ. Using Machine Learning Models And Principal Component Analysis To Identify Critical Diagnostic Variables For Breast Cancer Cells. ม.ป.ท.:Rangsit University, 2023. Print.