A novel machine learning prediction model for metastasis in breast cancer
Abstract Background Breast cancer (BC) metastasis is the common cause of high mortality. Conventional prognostic criteria cannot accurately predict the BC metastasis risk. The machine learning technologies can overcome the disadvantage of conventional models. Aim We developed a model to predict BC m...
Main Authors: | Huan Li, Ren‐Bin Liu, Chen‐meng Long, Yuan Teng, Yu Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2024-03-01
|
Series: | Cancer Reports |
Subjects: | |
Online Access: | https://doi.org/10.1002/cnr2.2006 |
Similar Items
-
Enhanced Machine-Learning Techniques for Medium-Term and Short-Term Electric-Load Forecasting in Smart Grids
by: Sajawal ur Rehman Khan, et al.
Published: (2022-12-01) -
Uncertainty and Overfitting in Fluvial Landform Classification Using Laser Scanned Data and Machine Learning: A Comparison of Pixel and Object-Based Approaches
by: Zsuzsanna Csatáriné Szabó, et al.
Published: (2020-11-01) -
Mapping Soil Properties in the Haihun River Sub-Watershed, Yangtze River Basin, China, by Integrating Machine Learning and Variable Selection
by: Jun Huang, et al.
Published: (2024-06-01) -
Identifying Coffee Agroforestry System Types Using Multitemporal Sentinel-2 Data and Auxiliary Information
by: Agustín Escobar-López, et al.
Published: (2022-08-01) -
Preliminary exploratory research on the application value of oral and intestinal meta-genomics in predicting subjects' occupations–A case study of the distinction between students and migrant workers
by: Shujie Dou, et al.
Published: (2024-02-01)