Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors

Our breast cancer mortality prediction model is free and accurate, providing healthcare professionals with valuable information to support their clinical decisions and potentially promoting healthier lifestyles for breast cancer patients.

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Publication Details

Journal
Cancer Management and Research
Published
2024-09-01
DOI
https://doi.org/10.2147/cmar.s460811
Citations
4
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
1.13

Funders

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article

Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors

Haibing Chen, Meixin Zhen, Yan Huang, Ling Wang et al.
4 citations
Cancer Management and Research
Global Cancer Incidence and Screening
1.13
article

Machine Learning-Based Predictive Model for Mortality in Female Breast Cancer Patients Considering Lifestyle Factors

Haibing Chen, Meixin Zhen, Yan Huang, Ling Wang, Hui Li, Qing Lü
article en
4 citations

Abstract

Our breast cancer mortality prediction model is free and accurate, providing healthcare professionals with valuable information to support their clinical decisions and potentially promoting healthier lifestyles for breast cancer patients.

Cancer Management and ResearchVol. Volume 16
Central South University (CN), Third Xiangya Hospital (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hunan Province
Good health and well-being
Openalex Percentile: Top 18%
Global Cancer Incidence and Screening
1.13
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