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Title:
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A CANCER PATIENT RECOMMENDER SYSTEM
FOR MANAGING END-OF-LIFE DECISION MAKING |
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Author(s):
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Raghav Pavan Karumur |
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ISBN:
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978-989-8704-30-6 |
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Editors:
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Piet Kommers and Mário Macedo |
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Year:
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2021 |
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Edition:
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Single |
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Keywords:
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Decision-Support, Recommender System, Web Intervention, Cancer |
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Type:
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Full |
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First Page:
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169 |
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Last Page:
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176 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Cancer is the leading cause of death across the world. Most cancer patients get diagnosed in advanced stages, and in most
cases, there is no full cure. Once diagnosed, cancer patients suffer from a variety of disorders that can lead to physical,
mental, and emotional trauma. In most cases, the patient symptoms are not adequately addressed. Moreover, today's
technology does not allow oncologists and clinicians to accurately estimate the patient survival time. In most countries, the
end-of-life care expenditure can also be significantly high. However, research shows that palliative care and hospice
services offered early in the disease trajectory can significantly bring down end-of-life care expenditures and improve the
quality of care. This paper presents the design of a Cancer patient end-of-life care recommender system and primarily
focuses on its various components. Using the lens of one of my studies performed in the context of Ovarian Cancer patients,
in this paper, I try to establish the usefulness of such a recommender system's various components in light of other
contemporary studies that have shown success using these individual tools. |
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