Healthcare Cost Prediction: Leveraging Fine-grain Temporal Patterns

no code implementations • 14 Sep 2020 • Mohammad Amin Morid, Olivia R. Liu Sheng, Kensaku Kawamoto, Travis Ault, Josette Dorius, Samir AbdelRahman

To prepare the data for modeling and prediction, the time series data of cost, visit and medical information were extracted in the form of fine-grain features (i. e., segmenting each time series into a sequence of consecutive windows and representing each window by various statistics such as sum).

Time Series Time Series Analysis