Machine Learning for Health: Algorithm Auditing & Quality Control

  1. Oala, Luis
  2. Murchison, Andrew G.
  3. Balachandran, Pradeep
  4. Choudhary, Shruti
  5. Fehr, Jana
  6. Leite, Alixandro Werneck
  7. Goldschmidt, Peter G.
  8. Johner, Christian
  9. Schörverth, Elora D. M.
  10. Nakasi, Rose
  11. Meyer, Martin
  12. Cabitza, Federico
  13. Baird, Pat
  14. Prabhu, Carolin
  15. Weicken, Eva
  16. Liu, Xiaoxuan
  17. Wenzel, Markus
  18. Vogler, Steffen
  19. Akogo, Darlington
  20. Alsalamah, Shada
  21. Kazim, Emre
  22. Koshiyama, Adriano
  23. Piechottka, Sven
  24. Macpherson, Sheena
  25. Shadforth, Ian
  26. Geierhofer, Regina
  27. Matek, Christian
  28. Krois, Joachim
  29. Sanguinetti, Bruno
  30. Arentz, Matthew
  31. Bielik, Pavol
  32. Calderon-Ramirez, Saul
  33. Abbood, Auss
  34. Langer, Nicolas
  35. Haufe, Stefan
  36. Kherif, Ferath
  37. Pujari, Sameer
  38. Samek, Wojciech
  39. Wiegand, Thomas

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1000 Titel
  • Machine Learning for Health: Algorithm Auditing & Quality Control
1000 Autor/in
  1. Oala, Luis |
  2. Murchison, Andrew G. |
  3. Balachandran, Pradeep |
  4. Choudhary, Shruti |
  5. Fehr, Jana |
  6. Leite, Alixandro Werneck |
  7. Goldschmidt, Peter G. |
  8. Johner, Christian |
  9. Schörverth, Elora D. M. |
  10. Nakasi, Rose |
  11. Meyer, Martin |
  12. Cabitza, Federico |
  13. Baird, Pat |
  14. Prabhu, Carolin |
  15. Weicken, Eva |
  16. Liu, Xiaoxuan |
  17. Wenzel, Markus |
  18. Vogler, Steffen |
  19. Akogo, Darlington |
  20. Alsalamah, Shada |
  21. Kazim, Emre |
  22. Koshiyama, Adriano |
  23. Piechottka, Sven |
  24. Macpherson, Sheena |
  25. Shadforth, Ian |
  26. Geierhofer, Regina |
  27. Matek, Christian |
  28. Krois, Joachim |
  29. Sanguinetti, Bruno |
  30. Arentz, Matthew |
  31. Bielik, Pavol |
  32. Calderon-Ramirez, Saul |
  33. Abbood, Auss |
  34. Langer, Nicolas |
  35. Haufe, Stefan |
  36. Kherif, Ferath |
  37. Pujari, Sameer |
  38. Samek, Wojciech |
  39. Wiegand, Thomas |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-11-02
1000 Erschienen in
1000 Quellenangabe
  • 45(12):105
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10916-021-01783-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562935/ |
1000 Publikationsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Developers proposing new machine learning for health (ML4H) tools often pledge to match or even surpass the performance of existing tools, yet the reality is usually more complicated. Reliable deployment of ML4H to the real world is challenging as examples from diabetic retinopathy or Covid-19 screening show. We envision an integrated framework of algorithm auditing and quality control that provides a path towards the effective and reliable application of ML systems in healthcare. In this editorial, we give a summary of ongoing work towards that vision and announce a call for participation to the special issue Machine Learning for Health: Algorithm Auditing & Quality Control in this journal to advance the practice of ML4H auditing.
1000 Sacherschließung
lokal Algorithms [MeSH]
lokal Health
lokal Machine learning
lokal Implementation Science
lokal Humans [MeSH]
lokal Artificial intelligence
lokal Machine Learning [MeSH]
lokal Quality Control [MeSH]
lokal Algorithm
lokal Machine Learning for Health: Algorithm Auditing
lokal Auditing
lokal Quality control
1000 Liste der Beteiligten
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1000 Hinweis
  • DeepGreen-ID: f77b56ff6ba44b56be9d2012d2a9a257 ; metadata provieded by: DeepGreen (https://www.oa-deepgreen.de/api/v1/), LIVIVO search scope life sciences (http://z3950.zbmed.de:6210/livivo), Crossref Unified Resource API (https://api.crossref.org/swagger-ui/index.html), to.science.api (https://frl.publisso.de/), ZDB JSON-API (beta) (https://zeitschriftendatenbank.de/api/), lobid - Dateninfrastruktur für Bibliotheken (https://lobid.org/resources/search)
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1000 Dateien
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    Machine Learning for Health: Algorithm Auditing & Quality Control
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1000 Erstellt am 2023-04-27T14:45:31.075+0200
1000 Erstellt von 322
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1000 Zuletzt bearbeitet Fri Oct 20 14:11:32 CEST 2023
1000 Objekt bearb. Fri Oct 20 14:11:32 CEST 2023
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