Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions

Autor: Wu, Danny T.Y., Vithala, Tripura M., Vu, Hoang, Xin, Chen, Li, Lezhi, Roberto, Amy, Alexander, Adam, Sohal, Devendra P., Herzog, Thomas J., Lee, James J.

Publikováno v: AMIA Annu Symp Proc

Unplanned 30-day cancer readmissions are an important outcome of cancer hospitalization and can significantly raise mortality rates and costs for both the patient and the hospital. This paper aimed to develop a predictive model using machine learning

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::7ea60b6b82264e6f8a46de847145c48b
https://europepmc.org/articles/PMC10148334/

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Development of a Clinical Decision Support System to Predict Unplanned Cancer Readmissions.

Autor: Wu DTY; University of Cincinnati College of Medicine.; University of Cincinnati Cancer Center., Vithala TM; University of Cincinnati College of Medicine., Vu H; University of Cincinnati College of Medicine., Xin C; University of Cincinnati College of Medicine., Li L; University of Cincinnati College of Medicine., Roberto A; University of Cincinnati Academic Health Center., Alexander A; University of Cincinnati College of Medicine.; University of Cincinnati Cancer Center., Sohal DP; University of Cincinnati College of Medicine.; University of Cincinnati Cancer Center.; University of Cincinnati Academic Health Center., Herzog TJ; University of Cincinnati College of Medicine.; University of Cincinnati Cancer Center.; University of Cincinnati Academic Health Center., Lee JJ; University of Cincinnati Digital Scholarship Center, Cincinnati OH, 45229.

Publikováno v: AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2023 Apr 29; Vol. 2022, pp. 1173-1180. Date of Electronic Publication: 2023 Apr 29 (Print Publication: 2022).