Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction ; volume:13 ; number:1 ; day:22 ; month:12 ; year:2023 ; pages:1-13 ; date:12.2023
Scientific reports ; 13, Heft 1 (22.12.2023), 1-13, 12.2023
- Urheber
-
Storås, Andrea M.
Fineide, Fredrik
Magnø, Morten
Thiede, Bernd
Chen, Xiangjun
Strümke, Inga
Halvorsen, Pål
Galtung, Hilde
Jensen, Janicke L.
Utheim, Tor P.
Riegler, Michael A.
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41598-023-50342-7
- URN
-
urn:nbn:de:101:1-2024030807050387414490
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:49 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Storås, Andrea M.
- Fineide, Fredrik
- Magnø, Morten
- Thiede, Bernd
- Chen, Xiangjun
- Strümke, Inga
- Halvorsen, Pål
- Galtung, Hilde
- Jensen, Janicke L.
- Utheim, Tor P.
- Riegler, Michael A.
- SpringerLink (Online service)
Ähnliche Objekte (12)
SP70 is a potential biomarker to identify gastric fundic gland neoplasms
Using Text Mining to Identify Teleological Explanations in Physics and Biology Textbooks: An Exploratory Study
Using Explanations to guide Adaptation
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
How to infer explanations from computer simulations
Using model explanations to guide deep learning models towards consistent explanations for EHR data
Application of machine learning algorithms to identify serological predictors of COVID-19 severity and outcomes
Using Multi-decadal Satellite Records to Identify Environmental Drivers of Fire Severity Across Vegetation Types
Explanations
Explanations
EXPLANATIONS
Challenging racism and sexism : alternatives to genetic explanations
SP70 is a potential biomarker to identify gastric fundic gland neoplasms
Using Text Mining to Identify Teleological Explanations in Physics and Biology Textbooks: An Exploratory Study
Using Explanations to guide Adaptation
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
How to infer explanations from computer simulations
Using model explanations to guide deep learning models towards consistent explanations for EHR data
Application of machine learning algorithms to identify serological predictors of COVID-19 severity and outcomes
Using Multi-decadal Satellite Records to Identify Environmental Drivers of Fire Severity Across Vegetation Types
Explanations
Explanations
EXPLANATIONS
Challenging racism and sexism : alternatives to genetic explanations
SP70 is a potential biomarker to identify gastric fundic gland neoplasms
Using Text Mining to Identify Teleological Explanations in Physics and Biology Textbooks: An Exploratory Study
Using Explanations to guide Adaptation
Causal explanations - how to generate, identify, and evaluate them : a causal model approach augmented with causal powers
How to infer explanations from computer simulations
Using model explanations to guide deep learning models towards consistent explanations for EHR data
Application of machine learning algorithms to identify serological predictors of COVID-19 severity and outcomes
Using Multi-decadal Satellite Records to Identify Environmental Drivers of Fire Severity Across Vegetation Types
Explanations
Explanations
EXPLANATIONS