APA (7th ed.) Citation

L, W., S, Q., A, D., C, L., L, C., A, H., . . . D, R. (2021). Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes. International journal of environmental research and public health, 18(16), . https://doi.org/10.3390/ijerph18168365

Chicago Style (17th ed.) Citation

L, Watson, Qi S, DeIure A, Link C, Chmielewski L, Hildebrand A, Rawson K, and Ruether D. "Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes." International Journal of Environmental Research and Public Health 18, no. 16 (2021). https://doi.org/10.3390/ijerph18168365.

MLA (9th ed.) Citation

L, Watson, et al. "Using Autoregressive Integrated Moving Average (ARIMA) Modelling to Forecast Symptom Complexity in an Ambulatory Oncology Clinic: Harnessing Predictive Analytics and Patient-Reported Outcomes." International Journal of Environmental Research and Public Health, vol. 18, no. 16, 2021, https://doi.org/10.3390/ijerph18168365.