Identifying recurrent breast cancer patients in national health registries using machine learning-Reference-Cited by-同舟云学术

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Identifying recurrent breast cancer patients in national health registries using machine learning

Published:2023-04-03 Issue:4 Volume:62 Page:350-357
ISSN:0284-186X
Container-title:Acta Oncologica
language:en
Short-container-title:Acta Oncologica

Author:

Lauritzen Andreas David¹,Berg Tobias²³^ORCID,Jensen Maj-Britt³,Lillholm Martin¹,Knoop Ann²

Affiliation:

1. Department of Computer Science, University of Copenhagen, Copenhagen, Denmark

2. Department of Oncology, University Hospital Copenhagen, Rigshospitalet, Copenhagen, Denmark

3. Danish Breast Cancer Group, Department of Oncology, University Hospital Copenhagen, Rigshospitalet, Copenhagen, Denmark

Funder

Danish Breast Cancer Group

Publisher

Medical Journals Sweden AB

Subject

Radiology, Nuclear Medicine and imaging,Oncology,Hematology,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/0284186X.2023.2201687

Reference15 articles.

1. NORDCAN – a Nordic tool for cancer information, planning, quality control and research

2. Improvements in breast cancer survival between 1995 and 2012 in Denmark: The importance of earlier diagnosis and adjuvant treatment

3. 20-Year Risks of Breast-Cancer Recurrence after Stopping Endocrine Therapy at 5 Years

4. The Incidence of Breast Cancer Recurrence 10-32 Years After Primary Diagnosis

5. Change in Survival in Metastatic Breast Cancer with Treatment Advances: Meta-Analysis and Systematic Review

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Comprehensive Analysis of the SUMO-related Signature: Implication for Diagnosis, Prognosis, and Immune Therapeutic Approaches in Cervical Cancer;Biochemical Genetics;2024-02-13

2. Advances in the application of computational pathology in diagnosis, immunomicroenvironment recognition, and immunotherapy evaluation of breast cancer: a narrative review;Journal of Cancer Research and Clinical Oncology;2023-06-30

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