Healthcare cost prediction: Leveraging fine-grain temporal patterns

@article{Morid2019HealthcareCP,
  title={Healthcare cost prediction: Leveraging fine-grain temporal patterns},
  author={Mohammad Amin Morid and Olivia R. Liu Sheng and Kensaku Kawamoto and Travis Ault and Josette Dorius and Samir E. Abdelrahman},
  journal={Journal of biomedical informatics},
  year={2019},
  volume={91},
  pages={
          103113
        }
}
OBJECTIVE To design and assess a method to leverage individuals' temporal data for predicting their healthcare cost. To achieve this goal, we first used patients' temporal data in their fine-grain form as opposed to coarse-grain form. Second, we devised novel spike detection features to extract temporal patterns that improve the performance of cost prediction. Third, we evaluated the effectiveness of different types of temporal features based on cost information, visit information and medical… Expand
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