Knowledge discovery from patients' behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services. | Iran J Pharm Res;15(1): 355-67, 2016. | MEDLINE

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Knowledge discovery from patients' behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services.

Zare Hosseini, Zeinab; Mohammadzadeh, Mahdi.

Affiliation

Zare Hosseini Z; Department of Engineering & Technology, Payame Noor University, Tehran, IRAN.
Mohammadzadeh M; Shahid Beheshti university of medical sciences, Faculty of pharmacy, Tehran, IRAN.

Iran J Pharm Res ; 15(1): 355-67, 2016.

Article in En | MEDLINE | ID: mdl-27610177

Key words

CRM; Data mining; Hospital; Knowledge discovery; Patient behavior; RFM

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Iran J Pharm Res Year: 2016 Document type: Article Affiliation country: Country of publication:

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Iran J Pharm Res Year: 2016 Document type: Article Affiliation country: Country of publication: