Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2045-2322
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Prediction of Pseudoprogression versus Progression using Machine Learning Algorithm in Glioblastoma ; volume:8 ; number:1 ; day:21 ; month:8 ; year:2018 ; pages:1-9 ; date:12.2018
Scientific reports ; 8, Heft 1 (21.8.2018), 1-9, 12.2018
- Urheber
-
Jang, Bum-Sup
- Beteiligte Personen und Organisationen
-
Jeon, Seung Hyuck
Kim, Il Han
Kim, In Ah
SpringerLink (Online service)
- DOI
-
10.1038/s41598-018-31007-2
- URN
-
urn:nbn:de:101:1-2018090309425753786189
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 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
- Jang, Bum-Sup
- Jeon, Seung Hyuck
- Kim, Il Han
- Kim, In Ah
- SpringerLink (Online service)
Ähnliche Objekte (12)
Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach
Machine learning techniques for prediction of multiple sclerosis progression
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Research on rock strength prediction model based on machine learning algorithm
Automated prediction of low ferritin concentrations using a machine learning algorithm
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression
Prediction algorithm for ICU mortality and length of stay using machine learning
Establishing a machine learning dementia progression prediction model with multiple integrated data
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images
Suspended sediment load prediction using sparrow search algorithm-based support vector machine model
Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach
Machine learning techniques for prediction of multiple sclerosis progression
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Research on rock strength prediction model based on machine learning algorithm
Automated prediction of low ferritin concentrations using a machine learning algorithm
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression
Prediction algorithm for ICU mortality and length of stay using machine learning
Establishing a machine learning dementia progression prediction model with multiple integrated data
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images
Suspended sediment load prediction using sparrow search algorithm-based support vector machine model
Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach
Machine learning techniques for prediction of multiple sclerosis progression
Survival prediction of glioblastoma patients using modern deep learning and machine learning techniques
Research on rock strength prediction model based on machine learning algorithm
Automated prediction of low ferritin concentrations using a machine learning algorithm
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
A deep learning-based ADRPPA algorithm for the prediction of diabetic retinopathy progression
Prediction algorithm for ICU mortality and length of stay using machine learning
Establishing a machine learning dementia progression prediction model with multiple integrated data
Prediction of disease progression and outcomes in multiple sclerosis with machine learning
Matrix metalloproteinase 9 expression and glioblastoma survival prediction using machine learning on digital pathological images