Literature DB >> 24615669

Machine learning versus statistical modeling.

Anne-Laure Boulesteix1, Matthias Schmid.   

Abstract

This is a discussion of the following papers: "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory" by Jochen Kruppa, Yufeng Liu, Gérard Biau, Michael Kohler, Inke R. König, James D. Malley, and Andreas Ziegler; and "Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications" by Jochen Kruppa, Yufeng Liu, Hans-Christian Diener, Theresa Holste, Christian Weimar, Inke R. König, and Andreas Ziegler.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Logistic regression; Prediction; Reproducibility; Transportability; Tuning parameters

Mesh：

Year:  2014        PMID： 24615669     DOI： 10.1002/bimj.201300226

Source DB:  PubMed          Journal:  Biom J        ISSN： 0323-3847            Impact factor:   2.207


  11 in total

1.  What do we really know about the drivers of undeclared work? An evaluation of the current state of affairs using machine learning.

Authors:  Josip Franic
Journal:  AI Soc       Date:  2022-06-23

Review 2.  Suicide prediction models: a critical review of recent research with recommendations for the way forward.

Authors:  Ronald C Kessler; Robert M Bossarte; Alex Luedtke; Alan M Zaslavsky; Jose R Zubizarreta
Journal:  Mol Psychiatry       Date:  2019-09-30       Impact factor: 15.992

Review 3.  The electronic stethoscope.

Authors:  Shuang Leng; Ru San Tan; Kevin Tshun Chuan Chai; Chao Wang; Dhanjoo Ghista; Liang Zhong
Journal:  Biomed Eng Online       Date:  2015-07-10       Impact factor: 2.819

4.  IPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data.

Authors:  Anne-Laure Boulesteix; Riccardo De Bin; Xiaoyu Jiang; Mathias Fuchs
Journal:  Comput Math Methods Med       Date:  2017-05-04       Impact factor: 2.238

5.  Role for machine learning in sex-specific prediction of successful electrical cardioversion in atrial fibrillation?

Authors:  Nicklas Vinter; Anne Sofie Frederiksen; Andi Eie Albertsen; Gregory Y H Lip; Morten Fenger-Grøn; Ludovic Trinquart; Lars Frost; Dorthe Svenstrup Møller
Journal:  Open Heart       Date:  2020-06

6.  A Machine Learning Approach to Identify Predictors of Potentially Inappropriate Non-Steroidal Anti-Inflammatory Drugs (NSAIDs) Use in Older Adults with Osteoarthritis.

Authors:  Jayeshkumar Patel; Amit Ladani; Nethra Sambamoorthi; Traci LeMasters; Nilanjana Dwibedi; Usha Sambamoorthi
Journal:  Int J Environ Res Public Health       Date:  2020-12-28       Impact factor: 3.390

7.  Random forest versus logistic regression: a large-scale benchmark experiment.

Authors:  Raphael Couronné; Philipp Probst; Anne-Laure Boulesteix
Journal:  BMC Bioinformatics       Date:  2018-07-17       Impact factor: 3.169

8.  Priority-Lasso: a simple hierarchical approach to the prediction of clinical outcome using multi-omics data.

Authors:  Simon Klau; Vindi Jurinovic; Roman Hornung; Tobias Herold; Anne-Laure Boulesteix
Journal:  BMC Bioinformatics       Date:  2018-09-12       Impact factor: 3.169

9.  Can minimal clinically important differences in patient reported outcome measures be predicted by machine learning in patients with total knee or hip arthroplasty? A systematic review.

Authors:  Benedikt Langenberger; Andreas Thoma; Verena Vogt
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-20       Impact factor: 2.796

10.  Comparison of Multivariable Logistic Regression and Machine Learning Models for Predicting Bronchopulmonary Dysplasia or Death in Very Preterm Infants.

Authors:  Faiza Khurshid; Helen Coo; Amal Khalil; Jonathan Messiha; Joseph Y Ting; Jonathan Wong; Prakesh S Shah
Journal:  Front Pediatr       Date:  2021-12-07       Impact factor: 3.418
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