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- W2317769512 abstract "ABSTRACTDose planning of prostate cancer is a complex and time-consuming process. Usually, oncologists use past experience and spend a large amount of time to determine the optimal combination of dose in phase I and II of treatment. In this article, a novel TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) case-based reasoning (CBR) approach is proposed to capture the past experience and expertise of oncologists. Initially, cases that resemble new case are extracted from database. Thereafter, inferred cases are evaluated using TOPSIS, a multi-criteria decision-making approach to prescribe an optimal dose plan. Robustness of the proposed method is validated on data sets collected from the City Hospital Campus, Nottingham University Hospitals, NHS, UK, using leave-one-out strategy. In experiment, the proposed methodology outperformed CBR approach. It also endorses the suitability of multi-criteria decision-making approach. This method will help oncologists to make a better trade-off be..." @default.
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- W2317769512 date "2016-03-03" @default.
- W2317769512 modified "2023-10-17" @default.
- W2317769512 title "An efficient approach to radiotherapy dose planning problem: a TOPSIS case-based reasoning approach" @default.
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- W2317769512 doi "https://doi.org/10.1080/23302674.2015.1135354" @default.
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