Diversity of Exercise Plans using Evolutionary Inspired Adaptation
نویسندگان
چکیده
The work presented is part of the selfBACK EU project and describes a case-based recommendation system that creates exercise plans for patients with non-specific low back pain (LBP). The submodule of selfBACK presented in this work focuses on the adaptation process of exercise plans: An evolutionary inspired method is created to increase the variation of personalized exercise plans, which today are crafted by medical professionals. Experiments are conducted using real patients’ characteristics with expert-crafted solutions and automatically generated solutions. In the evaluation we compare the quality of the solutions generated by Genetic Algorithm to null-adaptation solutions.
منابع مشابه
Evolutionary Inspired Adaptation of Exercise Plans for Increasing Solution Variety
An initial case base population naturally lacks diversity of solutions. In order to overcome this cold-start problem, we present how genetic algorithms (GA) can be applied. The work presented in this paper is part of the selfBACK EU project and describes a case-based recommendation system that creates exercise plans for patients with non-specific low back pain (LBP). In selfBACK Case-Based Reas...
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