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Evaluation of Similarity Metrics Supporting matching of patients with cardiovascular disease

Palionis, Gintas (2011) Evaluation of Similarity Metrics Supporting matching of patients with cardiovascular disease.

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Abstract:The purpose of this thesis was to support the matching process among user profiles in health care virtual communities. We elaborated in three different aspects. First, we designed and applied a methodology to evaluate software packages and similarity metrics. Second, we designed a patient information model for CVD patients. This model was used in the Patient Comparison System. Third, we investigated the weights for properties in the patient information model. We developed the Patient Comparison System to be able to apply the designed patient information model, implement semantic-based similarity metrics, and to help to analyze the weights for properties in the patient information model. The main objective of PCS was to calculate similarity among user profiles. Based on our results we can draw few important conclusions. First, we concluded that the software package “SimMetrics” shows better performance over the package “SecondString”. We compared the source code and the calculation results between similarity metrics that are implemented in both packages and have equal names. Second, two syntactic similarity metrics Mean Length and Levenstein outperformed other during the experiments. We used people opinion to decide which metric performs better. Third, we saw that the Patient Comparison System calculated meaningful matches among users. The calculated similarities by the system and the assigned similarities by users have the correlation in the range [0.349; 0.511].
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:85 business administration, organizational science
Programme:Business Administration MSc (60644)
Link to this item:http://purl.utwente.nl/essays/61142
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