دورية أكاديمية

EE435 Cost-Analysis of a Machine Learning-Based Clinical Decision Support System to Guide Resilience-Strengthening Intervention Decisions in Breast Cancer Treatment: The Bounce Study

التفاصيل البيبلوغرافية
العنوان: EE435 Cost-Analysis of a Machine Learning-Based Clinical Decision Support System to Guide Resilience-Strengthening Intervention Decisions in Breast Cancer Treatment: The Bounce Study
المؤلفون: Hakkarainen, T., Hynninen, Y., Haavisto, I., Nuutinen, M., Poikonen-Saksela, P., Mattson, J., Kondylak, H., Kolokotroni, E., Mazzocco, K., Sousa, B., Manica, I., Pat-Horenczyk, R., Leskelä, R.L.
المصدر: Value in Health ; volume 26, issue 12, page S134-S135 ; ISSN 1098-3015
بيانات النشر: Elsevier BV
سنة النشر: 2023
المجموعة: ScienceDirect (Elsevier - Open Access Articles via Crossref)
مصطلحات موضوعية: Public Health, Environmental and Occupational Health, Health Policy
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1016/j.jval.2023.09.701
الإتاحة: https://doi.org/10.1016/j.jval.2023.09.701Test
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حقوق: https://www.elsevier.com/tdm/userlicense/1.0Test/
رقم الانضمام: edsbas.4920B7FE
قاعدة البيانات: BASE