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Death versus data science: Predicting end of life

Publication ,  Conference
Ahmad, MA; Eckert, C; McKelvey, G; Zolfagar, K; Zahid, A; Teredesai, A
Published in: 32nd Aaai Conference on Artificial Intelligence Aaai 2018
January 1, 2018

Death is an inevitable part of life and while it cannot be delayed indefinitely it is possible to predict with some certainty when the health of a person is going to deteriorate. In this paper, we predict risk of mortality for patients from two large hospital systems in the Pacific Northwest. Using medical claims and electronic medical records (EMR) data we greatly improve prediction for risk of mortality and explore machine learning models with explanations for end of life predictions. The insights that are derived from the predictions can then be used to improve the quality of patient care towards the end of life.

Duke Scholars

Published In

32nd Aaai Conference on Artificial Intelligence Aaai 2018

Publication Date

January 1, 2018

Start / End Page

7719 / 7726
 

Citation

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Ahmad, M. A., Eckert, C., McKelvey, G., Zolfagar, K., Zahid, A., & Teredesai, A. (2018). Death versus data science: Predicting end of life. In 32nd Aaai Conference on Artificial Intelligence Aaai 2018 (pp. 7719–7726).
Ahmad, M. A., C. Eckert, G. McKelvey, K. Zolfagar, A. Zahid, and A. Teredesai. “Death versus data science: Predicting end of life.” In 32nd Aaai Conference on Artificial Intelligence Aaai 2018, 7719–26, 2018.
Ahmad MA, Eckert C, McKelvey G, Zolfagar K, Zahid A, Teredesai A. Death versus data science: Predicting end of life. In: 32nd Aaai Conference on Artificial Intelligence Aaai 2018. 2018. p. 7719–26.
Ahmad, M. A., et al. “Death versus data science: Predicting end of life.” 32nd Aaai Conference on Artificial Intelligence Aaai 2018, 2018, pp. 7719–26.
Ahmad MA, Eckert C, McKelvey G, Zolfagar K, Zahid A, Teredesai A. Death versus data science: Predicting end of life. 32nd Aaai Conference on Artificial Intelligence Aaai 2018. 2018. p. 7719–7726.

Published In

32nd Aaai Conference on Artificial Intelligence Aaai 2018

Publication Date

January 1, 2018

Start / End Page

7719 / 7726