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Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancer

2022-11-10

Abstract excerpt

<title>Abstract</title><p>For endocrine-positive Her2 negative breast cancer patients at an early stage, the benefit of adding chemotherapy to adjuvant endocrine therapy is controversial. Several genomic tests are available on the market but are very expensive. Therefore, there is the urgent need to explore novel reliable and less expensive prognostic tools in this setting. In this paper, we shown a machine learni...

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Literature Corpus work
2852176d-4bed-5e5b-b59f-8e1b24fddc03
DOI
10.21203/rs.3.rs-2238591/v1
Open publication

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Machine learning survival models trained on clinical data to identify high risk patients with hormone responsive HER2 negative breast cancerDOI 10.21203/rs.3.rs-2238591/v1
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