Literature DB >> 24615788

Class probability estimation for medical studies.

Richard Simon1.   

Abstract

I provide a commentary on two 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. Those papers provide an up-to-date review of some popular machine learning methods for class probability estimation and compare those methods to logistic regression modeling in real and simulated datasets. Published 2014. This article is a U.S. Government work and is in the public domain in the USA. Biometrical Journal published by WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Keywords:  Logistic regression; Machine learning; Prediction

Mesh：

Year:  2014        PMID： 24615788     DOI： 10.1002/bimj.201300296

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


  5 in total

1.  Machine learning workflows to estimate class probabilities for precision cancer diagnostics on DNA methylation microarray data.

Authors:  Máté E Maros; David Capper; David T W Jones; Volker Hovestadt; Andreas von Deimling; Stefan M Pfister; Axel Benner; Manuela Zucknick; Martin Sill
Journal:  Nat Protoc       Date:  2020-01-13       Impact factor: 13.491

2.  Comparative analysis of machine learning algorithms for computer-assisted reporting based on fully automated cross-lingual RadLex mappings.

Authors:  Máté E Maros; Chang Gyu Cho; Andreas G Junge; Benedikt Kämpgen; Victor Saase; Fabian Siegel; Frederik Trinkmann; Thomas Ganslandt; Christoph Groden; Holger Wenz
Journal:  Sci Rep       Date:  2021-03-09       Impact factor: 4.379

3.  Machine learning and data mining in complex genomic data--a review on the lessons learned in Genetic Analysis Workshop 19.

Authors:  Inke R König; Jonathan Auerbach; Damian Gola; Elizabeth Held; Emily R Holzinger; Marc-André Legault; Rui Sun; Nathan Tintle; Hsin-Chou Yang
Journal:  BMC Genet       Date:  2016-02-03       Impact factor: 2.797

4.  Efficiency of different measures for defining the applicability domain of classification models.

Authors:  Waldemar Klingspohn; Miriam Mathea; Antonius Ter Laak; Nikolaus Heinrich; Knut Baumann
Journal:  J Cheminform       Date:  2017-08-03       Impact factor: 5.514

5.  DNA methylation-based classification of central nervous system tumours.

Authors:  David Capper; David T W Jones; Martin Sill; Volker Hovestadt; Daniel Schrimpf; Dominik Sturm; Christian Koelsche; Felix Sahm; Lukas Chavez; David E Reuss; Annekathrin Kratz; Annika K Wefers; Kristin Huang; Kristian W Pajtler; Leonille Schweizer; Damian Stichel; Adriana Olar; Nils W Engel; Kerstin Lindenberg; Patrick N Harter; Anne K Braczynski; Karl H Plate; Hildegard Dohmen; Boyan K Garvalov; Roland Coras; Annett Hölsken; Ekkehard Hewer; Melanie Bewerunge-Hudler; Matthias Schick; Roger Fischer; Rudi Beschorner; Jens Schittenhelm; Ori Staszewski; Khalida Wani; Pascale Varlet; Melanie Pages; Petra Temming; Dietmar Lohmann; Florian Selt; Hendrik Witt; Till Milde; Olaf Witt; Eleonora Aronica; Felice Giangaspero; Elisabeth Rushing; Wolfram Scheurlen; Christoph Geisenberger; Fausto J Rodriguez; Albert Becker; Matthias Preusser; Christine Haberler; Rolf Bjerkvig; Jane Cryan; Michael Farrell; Martina Deckert; Jürgen Hench; Stephan Frank; Jonathan Serrano; Kasthuri Kannan; Aristotelis Tsirigos; Wolfgang Brück; Silvia Hofer; Stefanie Brehmer; Marcel Seiz-Rosenhagen; Daniel Hänggi; Volkmar Hans; Stephanie Rozsnoki; Jordan R Hansford; Patricia Kohlhof; Bjarne W Kristensen; Matt Lechner; Beatriz Lopes; Christian Mawrin; Ralf Ketter; Andreas Kulozik; Ziad Khatib; Frank Heppner; Arend Koch; Anne Jouvet; Catherine Keohane; Helmut Mühleisen; Wolf Mueller; Ute Pohl; Marco Prinz; Axel Benner; Marc Zapatka; Nicholas G Gottardo; Pablo Hernáiz Driever; Christof M Kramm; Hermann L Müller; Stefan Rutkowski; Katja von Hoff; Michael C Frühwald; Astrid Gnekow; Gudrun Fleischhack; Stephan Tippelt; Gabriele Calaminus; Camelia-Maria Monoranu; Arie Perry; Chris Jones; Thomas S Jacques; Bernhard Radlwimmer; Marco Gessi; Torsten Pietsch; Johannes Schramm; Gabriele Schackert; Manfred Westphal; Guido Reifenberger; Pieter Wesseling; Michael Weller; Vincent Peter Collins; Ingmar Blümcke; Martin Bendszus; Jürgen Debus; Annie Huang; Nada Jabado; Paul A Northcott; Werner Paulus; Amar Gajjar; Giles W Robinson; Michael D Taylor; Zane Jaunmuktane; Marina Ryzhova; Michael Platten; Andreas Unterberg; Wolfgang Wick; Matthias A Karajannis; Michel Mittelbronn; Till Acker; Christian Hartmann; Kenneth Aldape; Ulrich Schüller; Rolf Buslei; Peter Lichter; Marcel Kool; Christel Herold-Mende; David W Ellison; Martin Hasselblatt; Matija Snuderl; Sebastian Brandner; Andrey Korshunov; Andreas von Deimling; Stefan M Pfister
Journal:  Nature       Date:  2018-03-14       Impact factor: 49.962
  5 in total

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