Prediction of 5-year overall survival of tongue cancer based machine learning
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource, 1 online resource.
- Sprache
-
Englisch
- Erschienen in
-
Prediction of 5-year overall survival of tongue cancer based machine learning ; volume:23 ; number:1 ; day:13 ; month:8 ; year:2023 ; pages:1-9 ; date:12.2023
BMC oral health ; 23, Heft 1 (13.8.2023), 1-9, 12.2023
- Urheber
-
Li, Liangbo
Pu, Cheng
Jin, Nenghao
Zhu, Liang
Hu, Yanchun
Cascone, Piero
Tao, Ye
Zhang, Haizhong
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12903-023-03255-w
- URN
-
urn:nbn:de:101:1-2023110309413904249015
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:02 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
- Li, Liangbo
- Pu, Cheng
- Jin, Nenghao
- Zhu, Liang
- Hu, Yanchun
- Cascone, Piero
- Tao, Ye
- Zhang, Haizhong
- SpringerLink (Online service)
Ähnliche Objekte (12)
Expression of CXCL10 is associated with response to radiotherapy and overall survival in squamous cell carcinoma of the tongue
Nutritional and immune-related indicators-based Nomogram for predicting overall survival of surgical oral tongue squamous cell carcinoma
Expression profile analysis identifies IER3 to predict overall survival and promote lymph node metastasis in tongue cancer
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive
Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
Surrogacy of one-year survival for overall survival in advanced hepatocellular carcinoma
Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery
Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics
Effect of MELD-Na score on overall survival of periampullary cancer
Predicting overall survival in chordoma patients using machine learning models: a web-app application
Advanced Cervical Cancer: Leveraging the Historical Threshold of Overall Survival
Expression of CXCL10 is associated with response to radiotherapy and overall survival in squamous cell carcinoma of the tongue
Nutritional and immune-related indicators-based Nomogram for predicting overall survival of surgical oral tongue squamous cell carcinoma
Expression profile analysis identifies IER3 to predict overall survival and promote lymph node metastasis in tongue cancer
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive
Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
Surrogacy of one-year survival for overall survival in advanced hepatocellular carcinoma
Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery
Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics
Effect of MELD-Na score on overall survival of periampullary cancer
Predicting overall survival in chordoma patients using machine learning models: a web-app application
Advanced Cervical Cancer: Leveraging the Historical Threshold of Overall Survival
Expression of CXCL10 is associated with response to radiotherapy and overall survival in squamous cell carcinoma of the tongue
Nutritional and immune-related indicators-based Nomogram for predicting overall survival of surgical oral tongue squamous cell carcinoma
Expression profile analysis identifies IER3 to predict overall survival and promote lymph node metastasis in tongue cancer
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Development of machine learning prognostic models for overall survival of prostate cancer patients with lymph node-positive
Bioinformatics analysis reveals immune prognostic markers for overall survival of colorectal cancer patients: a novel machine learning survival predictive system
Surrogacy of one-year survival for overall survival in advanced hepatocellular carcinoma
Nomogram based on clinical characteristics and serological inflammation markers to predict overall survival of oral tongue squamous cell carcinoma patient after surgery
Prediction of overall survival in stage II and III colon cancer through machine learning of rapidly-acquired proteomics
Effect of MELD-Na score on overall survival of periampullary cancer
Predicting overall survival in chordoma patients using machine learning models: a web-app application