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Predicting Family Implementation of Complementary and Alternative Medicine in Autism Online Communities
Zhenni Ni1,2, Yuxing Qian1, Hao Li3
1School of Information management, Wuhan University, China.
Abstract:
Complementary and alternative medicine (CAM) is widely adopted by families with autistic children. This study aims to predict family caregivers' CAM implementation in Autism online communities. Dietary interventions were reported as a case study. We extracted behavioral (degree and betweenness), environmental (positive feedback and social persuasion), and personal features (language style) of family caregivers in online communities. The results of the experiment showed that random forests performed well in predicting families' tendency to implement CAM (AUC=0.887). It is promising to use machine learning to predict and intervene in the CAM implementation by family caregivers.
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