Development and internal-external validation of statistical and machine learning models for breast cancer prognostication: cohort study
<strong>Objective </strong>To develop a clinically useful model that estimates the 10 year risk of breast cancer related mortality in women (self-reported female sex) with breast cancer of any stage, comparing results from regression and machine learning approaches. <br><strong&...
المؤلفون الرئيسيون: | Clift, AK, Dodwell, D, Lord, S, Petrou, S, Brady, M, Collins, GS, Hippisley-Cox, J |
---|---|
التنسيق: | Journal article |
اللغة: | English |
منشور في: |
BMJ Publishing Group
2023
|
مواد مشابهة
-
Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study
حسب: Clift, AK, وآخرون
منشور في: (2022) -
Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study
حسب: Clift, AK, وآخرون
منشور في: (2023) -
The current status of risk-stratified breast screening
حسب: Clift, AK, وآخرون
منشور في: (2021) -
Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study
حسب: Stavros Petrou, وآخرون
منشور في: (2022-03-01) -
Predicting 10-year breast cancer mortality risk in the general female population in England: a model development and validation study
حسب: Ash Kieran Clift, MBBS, وآخرون
منشور في: (2023-09-01)