Modeling and Predicting Patient Churn In a Non-Contractual Setting

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Keywords	customer churn, CRM, customer retention, machine learning, churn prediction, health care, non-contractual
Thesis Advisor	Lemmens, Aurélie, Roos, J.M.T.
Persistent URL	hdl.handle.net/2105/69557
Series	Business Analytics & Management
Organisation	Rotterdam School of Management
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Kononova, Ksenia. (2023, August 17). Modeling and Predicting Patient Churn In a Non-Contractual Setting. Business Analytics & Management. Retrieved from http://hdl.handle.net/2105/69557

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