Developing a Data Infrastructure for Enabling Breast Cancer Women to BOUNCE Back

Author:

Kondylakis Haridimos,Koumakis Lefteris,Katehakis Dimitrios G.,Kouroubali Angelina,Marias Kostas,Tsiknakis Manolis,Simos Panagiotis G.,Karademas Evangelos

Publisher

IEEE

Cited by 11 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. Predicting Quality of Life for Breast Cancer Patients *;2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI);2023-10-15

2. Aid of a machine learning algorithm can improve clinician predictions of patient quality of life during breast cancer treatments;Health and Technology;2023-02-10

3. BONVITA: Enabling Integrated Self-Care for Improving Chronic Patient’s Wellbeing;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2023

4. Prediction of Poor Mental Health Following Breast Cancer Diagnosis Using Random Forests1;2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC);2021-11-01

5. A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects;Computers in Biology and Medicine;2021-04

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