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Patient Preference and Adherence Volume 12, 2018 - Issue
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Original Research

Computerized adaptive testing with decision regression trees: an alternative to item response theory for quality of life measurement in multiple sclerosis

Pierre Michel1 Aix-Marseille Univ, School of Medicine, CEReSS - Health Service Research and Quality of Life Center, Marseille, France;2 Mathematics Institute of Marseille, Aix-Marseille University, Marseille, France
,
Karine Baumstarck1 Aix-Marseille Univ, School of Medicine, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
,
Anderson Loundou1 Aix-Marseille Univ, School of Medicine, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
,
Badih Ghattas2 Mathematics Institute of Marseille, Aix-Marseille University, Marseille, France
,
Pascal Auquier1 Aix-Marseille Univ, School of Medicine, CEReSS - Health Service Research and Quality of Life Center, Marseille, France
&
Laurent Boyer1 Aix-Marseille Univ, School of Medicine, CEReSS - Health Service Research and Quality of Life Center, Marseille, FranceCorrespondence[email protected]
Pages 1043-1053 | Published online: 19 Jun 2018

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Sara Fernandes, Guillaume Fond, Xavier Zendjidjian, Pierre Michel, Karine Baumstarck, Christophe Lancon, Fabrice Berna, Franck Schurhoff, Bruno Aouizerate, Chantal Henry, Bruno Etain, Ludovic Samalin, Marion Leboyer, Pierre-Michel Llorca, Magali Coldefy, Pascal Auquier & Laurent Boyer. (2019) The Patient-Reported Experience Measure for Improving qUality of care in Mental health (PREMIUM) project in France: study protocol for the development and implementation strategy. Patient Preference and Adherence 13, pages 165-177.
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Articles from other publishers (6)

Chelsea Krantsevich, P. Richard Hahn, Yi Zheng & Charles Katz. (2023) Bayesian decision theory for tree-based adaptive screening tests with an application to youth delinquency. The Annals of Applied Statistics 17:2.
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Md Zakir Hossain, Elena Daskalaki, Anne Brüstle, Jane Desborough, Christian J. Lueck & Hanna Suominen. (2022) The role of machine learning in developing non-magnetic resonance imaging based biomarkers for multiple sclerosis: a systematic review. BMC Medical Informatics and Decision Making 22:1.
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Sinan BEKMEZCİ & Nuri DOĞAN. (2021) Ölçek Geliştirmede Açımlayıcı Faktör Analizi, Karar Ağacı ve Yapay Sinir Ağları Sonuçlarının Karşılaştırılması. Celal Bayar Üniversitesi Sosyal Bilimler Dergisi, pages 135-154.
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Jeong-Han Youn & Taehun Lee. (2021) Investigating the Viability of Alternating Model Tree As An Item Selection Algorithm for Constructing Computerized Adaptive Psychological Testing. The Korean Journal of Psychology: General 40:4, pages 539-566.
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Conrad J Harrison, Chris J Sidey-Gibbons, Anne F Klassen, Karen W Y Wong Riff, Dominic Furniss, Marc C Swan & Jeremy N Rodrigues. (2021) Recursive Partitioning vs Computerized Adaptive Testing to Reduce the Burden of Health Assessments in Cleft Lip and/or Palate: Comparative Simulation Study. Journal of Medical Internet Research 23:7, pages e26412.
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Javier Rodríguez-Cuadrado, David Delgado-Gómez, Juan C. Laria & Sara Rodríguez-Cuadrado. (2020) Merged Tree-CAT: A fast method for building precise computerized adaptive tests based on decision trees. Expert Systems with Applications 143, pages 113066.
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