Correction to: Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications: Probability estimation with machine learning methods: Applications (Biometrical Journal, (2014), 56, 4, (564-583), 10.1002/bimj.201300077);Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications

Biometrical Journal

Volumn 56, Issue 4, 2014, Pages 564-583

  Kruppa, Jochen ^a   Liu, Yufeng ^b   Diener, Hans Christian ^c   Holste, Theresa ^a   Weimar, Christian ^c   König, Inke R ^a   Ziegler, Andreas ^a,d  

^a UNIVERSITY HOSPITAL SCHLESWIG HOLSTEIN   (Germany)

^b University of North Carolina at Chapel Hill   (United States)

^c UNIVERSITY HOSPITAL ESSEN   (Germany)

^d Ratzeburger Allee 160   (Germany)

Author keywords

Brier score; German Stroke Study Collaboration; Probability estimation; Random forest; Random Jungle; Support vector machine

Indexed keywords

FORESTRY; NEAREST NEIGHBOR SEARCH; REGRESSION ANALYSIS; STATISTICAL TESTS;

BRIER SCORE; CONFIDENCE INTERVAL; DICHOTOMOUS OUTCOME; GERMAN STROKE STUDY COLLABORATION; MACHINE LEARNING METHODS; MULTICATEGORY; PROBABILITY ESTIMATION; RANDOM FORESTS; RANDOM JUNGLE; SUPPORT VECTORS MACHINE;

SUPPORT VECTOR MACHINES;

ARTIFICIAL INTELLIGENCE; BIOMETRY; COOPERATION; CORONARY ARTERY DISEASE; HUMAN; HYPOTHYROIDISM; PROBABILITY; PROCEDURES; PROGNOSIS; STROKE;

ARTIFICIAL INTELLIGENCE; BIOMETRY; COOPERATIVE BEHAVIOR; CORONARY ARTERY DISEASE; HUMANS; HYPOTHYROIDISM; PROBABILITY; PROGNOSIS; STROKE;

EID: 84903610080     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.202170074     Document Type: Erratum

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