Editorial: Interpretable predictive analytics for precision cardio-oncology preventive care

Front Cardiovasc Med. 2024 Mar 6:11:1377749. doi: 10.3389/fcvm.2024.1377749. eCollection 2024.

Jiandong Zhou^{1

2

3

4}, Tong Liu⁵, Leonardo Roever⁶, Qingpeng Zhang^{3

7}

¹ Department of Family Medicine and Primary Care, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
² School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
³ Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.
⁴ Division of Health Science, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
⁵ Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China.
⁶ Lebanese American University, Gilbert and Rose-Marie Chagoury School of Medicine, Lebanese American University, Beirut, Lebanon.
⁷ Musketeers Foundation Institute of Data Science, The University of Hong Kong, Hong Kong, Hong Kong SAR, China.

No abstract available

Keywords: biomedical big data analytics; cardio-oncology; cardiovascular diseases; computational cancer therapy; interpretable machine learning.

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