Literature DB >> 25396219

Discussion of "the evolution of boosting algorithms" and "extending statistical boosting".

P Bühlmann1, J Gertheiss, S Hieke, T Kneib, S Ma, M Schumacher, G Tutz, C-Y Wang, Z Wang, A Ziegler.   

Abstract

This article is part of a For-Discussion-Section of Methods of Information in Medicine about the papers "The Evolution of Boosting Algorithms - From Machine Learning to Statistical Modelling" and "Extending Statistical Boosting - An Overview of Recent Methodological Developments", written by Andreas Mayr and co-authors. It is introduced by an editorial. This article contains the combined commentaries invited to independently comment on the Mayr et al. papers. In subsequent issues the discussion can continue through letters to the editor.

Keywords:  Statistical computing; algorithms; classification; machine learning; statistical models

Mesh:

Year:  2014        PMID: 25396219     DOI: 10.3414/13100122

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  4 in total

1.  Improving Bridging from Informatics Theory to Practice.

Authors:  R Haux; S Koch
Journal:  Appl Clin Inform       Date:  2015-12-23       Impact factor: 2.342

Review 2.  An Update on Statistical Boosting in Biomedicine.

Authors:  Andreas Mayr; Benjamin Hofner; Elisabeth Waldmann; Tobias Hepp; Sebastian Meyer; Olaf Gefeller
Journal:  Comput Math Methods Med       Date:  2017-08-02       Impact factor: 2.238

3.  Effectiveness of Artificial Intelligence Models for Cardiovascular Disease Prediction: Network Meta-Analysis.

Authors:  Yahia Baashar; Gamal Alkawsi; Hitham Alhussian; Luiz Fernando Capretz; Ayed Alwadain; Ammar Ahmed Alkahtani; Malek Almomani
Journal:  Comput Intell Neurosci       Date:  2022-02-24

4.  Machine learning prediction in cardiovascular diseases: a meta-analysis.

Authors:  Chayakrit Krittanawong; Hafeez Ul Hassan Virk; Sripal Bangalore; Zhen Wang; Kipp W Johnson; Rachel Pinotti; HongJu Zhang; Scott Kaplin; Bharat Narasimhan; Takeshi Kitai; Usman Baber; Jonathan L Halperin; W H Wilson Tang
Journal:  Sci Rep       Date:  2020-09-29       Impact factor: 4.379

  4 in total

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