Applications of different machine learning approaches in prediction of breast cancer diagnosis delay
BackgroundThe increasing rate of breast cancer (BC) incidence and mortality in Iran has turned this disease into a challenge. A delay in diagnosis leads to more advanced stages of BC and a lower chance of survival, which makes this cancer even more fatal.ObjectivesThe present study was aimed at iden...
Main Authors: | Samira Dehdar, Khodakaram Salimifard, Reza Mohammadi, Maryam Marzban, Sara Saadatmand, Mohammad Fararouei, Mostafa Dianati-Nasab |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-02-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2023.1103369/full |
Similar Items
-
Machine learning algorithms to uncover risk factors of breast cancer: insights from a large case-control study
by: Mostafa Dianati-Nasab, et al.
Published: (2024-02-01) -
Slope stability prediction using ensemble learning techniques: A case study in Yunyang County, Chongqing, China
by: Wengang Zhang, et al.
Published: (2022-08-01) -
Crop Intensity Mapping Using Dynamic Time Warping and Machine Learning from Multi-Temporal PlanetScope Data
by: Raihan Rafif, et al.
Published: (2021-12-01) -
Predicting Customer Churn using ensemble learning: Case Study of a Fixed Broadband Company
by: Arian Dhini, et al.
Published: (2021-12-01) -
Simulating the Leaf Area Index of Rice from Multispectral Images
by: Shenzhou Liu, et al.
Published: (2021-09-01)