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Examining the diversity of youth in Europe : a classification of generations and ethnic origins using CILS4EU data (technical report)

Dollmann, Jörg; Jacob, Konstanze; Kalter, Frank - 2014

Persistent link: https://www.econbiz.de/10013434908

A method for clustering surgical cases to allow master surgical scheduling

Oostrum, Jeroen M. van; Parlevliet, Tessa; Wagelmans, … - 2008

Persistent link: https://www.econbiz.de/10003780790

Critical-to-life classification for managing inventory in a healthcare supply chain

Al-Qatawneh, Lina; Hafeez, Khalid - In: International journal of intelligent enterprise : IJIE 3 (2015) 1, pp. 54-78

Persistent link: https://www.econbiz.de/10011547064

Using fuzzy classification for chronic disease management

Ghosh, Biswadip - In: Indian journal of economics & business : IJEB 11 (2012) 1, pp. 231-240

Persistent link: https://www.econbiz.de/10009539965

Patient classification based on volume and case-mix in the emergency department and their association with performance

Zaerpour, Farzad; Bischak, Diane P.; Menezes, Mozart B. C. - In: Health care management science : a new journal serving … 23 (2020) 3, pp. 387-400

Persistent link: https://www.econbiz.de/10012291192

Predicting generalised anxiety disorder among women using decision tree-based classification

Neesha Jothi; Wahidah Husain; Rashid, Nur'Aini Abdul; … - In: International journal of business information systems : … 29 (2018) 1, pp. 75-91

Persistent link: https://www.econbiz.de/10011980172

Classification of hospital admissions into emergency and elective care : a machine learning approach

Krämer, Jonas; Schreyögg, Jonas; Busse, Reinhard - In: Health care management science 22 (2019) 1, pp. 85-105

Persistent link: https://www.econbiz.de/10011994052

Cholecystectomy and Diagnosis-Related Groups (DRGs) : Patient Classification and Hospital Reimbursement in 11 European Countries

Paat-Ahi, Gerli; Aaviksoo, Ain; Świderek, Maria - 2014

classification algorithms and indicators of resource consumption were compared for those DRGs that individually contained at least 1 … classification of cholecystectomy patients raise concerns whether all systems rely on the most appropriate classification variables …

Persistent link: https://www.econbiz.de/10014140015

Classification of Patients with Chronic Disease by Activation Level using Machine Learning Methods

Demiray, Onur; Gunes, Evrim Didem; Kulak, Ercan; Dogan, … - 2023

methods. $44.5\%$ of patients in the dataset have a low PAM level. Classification performance with several feature sets was …

Persistent link: https://www.econbiz.de/10014262892

Classification of patients with chronic disease by activation level using machine learning methods

Demiray, Onur; Guneş, Evrim D.; Kulak, Ercan; Dogan, Emrah - In: Health care management science : a new journal serving … 26 (2023) 4, pp. 626-650

Persistent link: https://www.econbiz.de/10015079819