arXiv Open Access 2022

Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients

Sicheng Zhou Rui Zhang Anne Blaes Chetan Shenoy Gyorgy Simon

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Abstrak

Cardiotoxicity induced by the breast cancer treatments (i.e., chemotherapy, targeted therapy and radiation therapy) is a significant problem for breast cancer patients. The cardiotoxicity risk for breast cancer patients receiving different treatments remains unclear. We developed and evaluated risk predictive models for cardiotoxicity in breast cancer patients using EHR data. The AUC scores to predict the CHF, CAD, CM and MI are 0.846, 0.857, 0.858 and 0.804 respectively. After adjusting for baseline differences in cardiovascular health, patients who received chemotherapy or targeted therapy appeared to have higher risk of cardiotoxicity than patients who received radiation therapy. Due to differences in baseline cardiac health across the different breast cancer treatment groups, caution is recommended in interpreting the cardiotoxic effect of these treatments.

Topik & Kata Kunci

stat.AP cs.LG

Penulis (5)

Sicheng Zhou

Rui Zhang

Anne Blaes

Chetan Shenoy

Gyorgy Simon

Format Sitasi

APA MLA BibTeX

Zhou, S., Zhang, R., Blaes, A., Shenoy, C., Simon, G. (2022). Predicting Cancer Treatments Induced Cardiotoxicity of Breast Cancer Patients. https://arxiv.org/abs/2201.13036

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓