Article
Version 1
Preserved in Portico This version is not peer-reviewed
Towards a Value-Based Therapy Recommendation Model
Version 1
: Received: 6 July 2023 / Approved: 7 July 2023 / Online: 10 July 2023 (10:15:57 CEST)
A peer-reviewed article of this Preprint also exists.
Liu, Z.; Xiao, L. Toward a Value-Based Therapy Recommendation Model. Healthcare 2023, 11, 2362. Liu, Z.; Xiao, L. Toward a Value-Based Therapy Recommendation Model. Healthcare 2023, 11, 2362.
Abstract
Patient value is an important factor in clinical decision-making, but conventionally, it is not incorporated in the decision processes. In this paper, a value-based therapy recommendation comprehensive model is proposed. A literature analysis is conducted to collect value-based evidence. Categorized values and candidate therapies are used in combination as filtering keywords to build this evidence. Then a formalism model is put forward to integrate the value-based evidence with clinical evidence. The relative importance of two evidence can be adjusted dynamically by decision-makers during the decision-making processes. A prototype system was implemented using a case study for breast cancer and validated for feasibility and effectiveness.
Keywords
patient values; clinical decision-making; personalized therapy; recommendation model; argumentation
Subject
Computer Science and Mathematics, Computer Science
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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